308 Operations Research Jobs - Page 9

Were Celonis, the global leader in Process Mining technology and one of the worlds fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing data and intelligence at the core of business processes - and for that, we need you to join us. The Team: The Celonis Finance team is a young team of product enthusiasts that focuses on developing best-in class Business Apps in the domain of Finance. Business Apps are purpose-built solutions created for a specific line of business, addressing most impactful pain points in their respective domain. The apps are best practice examples of how Celonis is used in new, innovative ways that push the boundaries of our platform. The team has a great balance of technical skills to build solutions paired with a customer focus and product management mindset to create meaningful products widely adopted across our customer base. The Role: You will gain experience in the Finance and related processes and act as the interface between customers, our Go-To-Market and our Product Engineering teams, shaping the future of Celonis Business Apps in this domain. Take this chance to rethink the way companies run their Finance processes and help our customers to accelerate their value realization with Celonis. The work you ll do: Work closely with customers to understand their pain points in Finance with a focus on Record-to-Report Be involved in all steps within the product development lifecycle from ideation to product development to scaling solutions across all Celonis customers Use the Celonis Process Intelligence Platform hands-on to develop new, innovative solutions in the area of Record-to-Report Collaborate with platform product managers and engineers to guide and influence feature development of the platform Work together with our UX team to define the user experience for our products If you are passionate about Finance and Record-to-Report, the Celonis technology, and what it can do for our customers, heres your chance to directly contribute to taking our Celonis Process Intelligence Platform to the next level. The qualifications you need: 6-9+ years of experience in Solution Engineering, Implementation Consulting, Business Analytics, Operations Research or comparable roles Expert in data analysis including with tools native to the Celonis platform: SQL, PQL and Python Experience with SAP, Oracle or other ERP systems and their respective Record-to-Report modules Project management experience and excellent planning and organizational skills Creativity in problem solving, solution-oriented, self-motivated, able to work independently and collaborate well within and outside the team Excellent verbal and written communication skills and the willingness to work very closely with customers and cross-functional stakeholders Very good knowledge of spoken and written English (German is a plus) What Celonis can offer you: The unique opportunity to work within a new category of technology Investment in your personal growth and skill development (ownership of projects, exposure to senior management, mentorship and buddy programs, guided learning paths, internal mobility opportunities) Mental well-being support (mindfulness tools such as Headspace, flexible working hours, virtual events, and more) A global and growing team of Celonauts from diverse backgrounds to learn from and work with An open-minded culture with innovative, autonomous teams A clear set of company values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future What Celonis Can Offer You: Pioneer Innovation: Work with the leading, award-winning process mining technology, shaping the future of business. Accelerate Your Growth: Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities. Receive Exceptional Benefits: Including generous PTO, hybrid working options, company equity (RSUs), comprehensive benefits, extensive parental leave, dedicated volunteer days, and much more . Prioritize Your Well-being: Access to resources such as gym subsidies, counseling, and well-being programs. Connect and Belong: Find community and support through dedicated inclusion and belonging programs. Make Meaningful Impact: Be part of a company driven by strong values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future. Collaborate Globally: Join a dynamic, international team of talented individuals. Empowered Environment: Contribute your ideas in an open culture with autonomous teams. About Us: Celonis makes processes work for people, companies and the planet. The Celonis Process Intelligence Platform uses industry-leading process mining and AI technology and augments it with business context to give customers a living digital twin of their business operation. It s system-agnostic and without bias, and provides everyone with a common language for understanding and improving businesses. Celonis enables its customers to continuously realize significant value across the top, bottom, and green line. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video . Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that The Best Team Wins . We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - thats when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process . Please be aware of common job offer scams, impersonators and frauds. Learn more here .

Were Celonis, the global leader in Process Mining technology and one of the worlds fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing data and intelligence at the core of business processes - and for that, we need you to join us. The Team: The Celonis Finance team is a young team of product enthusiasts that focuses on developing best-in class Business Apps in the domain of Finance. Business Apps are purpose-built solutions created for a specific line of business, addressing most impactful pain points in their respective domain. The apps are best practice examples of how Celonis is used in new, innovative ways that push the boundaries of our platform. The team has a great balance of technical skills to build solutions paired with a customer focus and product management mindset to create meaningful products widely adopted across our customer base. The Role: You will gain experience in the Finance and related processes and act as the interface between customers, our Go-To-Market and our Product Engineering teams, shaping the future of Celonis Business Apps in this domain. Take this chance to rethink the way companies run their Finance processes and help our customers to accelerate their value realization with Celonis. The work you ll do: Work closely with customers to understand their pain points in Finance with a focus on Accounts Receivable Be involved in all steps within the product development lifecycle from ideation to product development to scaling solutions across all Celonis customers Use the Celonis Process Intelligence Platform hands-on to develop new, innovative solutions in the area of Accounts Receivable Collaborate with platform product managers and engineers to guide and influence feature development of the platform Work together with our UX team to define the user experience for our products If you are passionate about Finance and Accounts Receivable, the Celonis technology, and what it can do for our customers, heres your chance to directly contribute to taking our Celonis Process Intelligence Platform to the next level. The qualifications you need: 6-9+ years of experience in Solution Engineering, Implementation Consulting, Business Analytics, Operations Research or comparable roles Expert in data analysis including with tools native to the Celonis platform: SQL, PQL and Python Experience with SAP, Oracle or other ERP systems and their respective Accounts Receivable modules Project management experience and excellent planning and organizational skills Creativity in problem solving, solution-oriented, self-motivated, able to work independently and collaborate well within and outside the team Excellent verbal and written communication skills and the willingness to work very closely with customers and cross-functional stakeholders Very good knowledge of spoken and written English (German is a plus) What Celonis can offer you: The unique opportunity to work within a new category of technology Investment in your personal growth and skill development (ownership of projects, exposure to senior management, mentorship and buddy programs, guided learning paths, internal mobility opportunities) Mental well-being support (mindfulness tools such as Headspace, flexible working hours, virtual events, and more) A global and growing team of Celonauts from diverse backgrounds to learn from and work with An open-minded culture with innovative, autonomous teams A clear set of company values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future What Celonis Can Offer You: Pioneer Innovation: Work with the leading, award-winning process mining technology, shaping the future of business. Accelerate Your Growth: Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities. Receive Exceptional Benefits: Including generous PTO, hybrid working options, company equity (RSUs), comprehensive benefits, extensive parental leave, dedicated volunteer days, and much more . Prioritize Your Well-being: Access to resources such as gym subsidies, counseling, and well-being programs. Connect and Belong: Find community and support through dedicated inclusion and belonging programs. Make Meaningful Impact: Be part of a company driven by strong values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future. Collaborate Globally: Join a dynamic, international team of talented individuals. Empowered Environment: Contribute your ideas in an open culture with autonomous teams. About Us: Celonis makes processes work for people, companies and the planet. The Celonis Process Intelligence Platform uses industry-leading process mining and AI technology and augments it with business context to give customers a living digital twin of their business operation. It s system-agnostic and without bias, and provides everyone with a common language for understanding and improving businesses. Celonis enables its customers to continuously realize significant value across the top, bottom, and green line. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video . Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that The Best Team Wins . We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - thats when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process . Please be aware of common job offer scams, impersonators and frauds. Learn more here .

Challenging. Meaningful. Life-changing. Those aren t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers. bms. com/working-with-us . Job Description: The Business Analyst II will play a critical role in portfolio analytics team in Hyderabad. They will be responsible for developing and maintaining assessment of our portfolio vs. competitors, articulating portfolio health to the senior leadership and undertaking in-depth assessment of clinical trials targeted by competitors. The right candidate should have extensive experience in conducting therapeutic area assessments, consolidating long term forecasts for the company s portfolio, hands-on expertise to build excel-based capabilities from scratch and exposure to SQL/ VBA/Python/ and other coding/ reporting platforms. Key Responsibilities: Portfolio Health Analysis: Conduct competitor concentration analysis by therapeutic indication using external datasets. Benchmark success rates versus modeled PTRS and conduct internal portfolio assessment vs. external perspective Asset Favorability Framework: Develop leadership dashboard capturing portfolio ranking across key variables of interest and summarize the findings for senior leadership Clinical Trial Analysis: Map our existing trials to therapeutic areas of interest, articulate risk/reward and summarize findings in the form of actionable insights Long-Term Financial Planning (LTFP): Conduct early asset modeling for LTFP, including discrete models early-stage assets and conduct scenario analytics to derive range of possibilities given market dynamics Collaborate with cross-functional teams to gather and analyze relevant data, market trends and historical performance Proactively and continuously assesses the relevant marketplace and its dynamics, customers, competitors and future development trends Provide training, guidance and mentorship to junior analysts and team members as required Skills and Competencies: Strong analytical skills and experience in conducting portfolio analytics for pharmaceutical MNC Deep understanding of therapeutic areas, financial planning process and ability to conduct easy-stage asset evaluations Strong communication skills with the ability to present complex information to non-technical stakeholders in a clear manner Strong project management skills and the ability to work independently or as part of a team. Strong attention to detail and ability to work with large datasets to ensure accuracy and reliability of forecasts Experience: We welcome people with a bachelors or masters degree in a relevant field such as Statistics, Mathematics, Economics, Operations Research or a related discipline. Proven experience (typically 3 to 5 years) in a portfolio analytics and long-range forecasting, preferably within the biopharma or pharmaceutical industry. Hands-on expertise in pharmaceutical forecasting and commercial analytics, modeling platforms, Advanced Excel & VBA, data manipulation software and visualization tools (e. g. Tableau, Python, SQL, Power BI, etc. ) Awareness of Pharma datasets (Visible Alpha, ProSight, Evaluate Pharma, DRG, Biodmedtracker, IQVIA, Pharma projects, Alpha sense) will be a plus If you come across a role that intrigues you but doesn t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. With a single vision as inspiring as Transforming patients lives through science , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms. com . Visit careers. bms. com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers. bms. com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Challenging. Meaningful. Life-changing. Those aren t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers. bms. com/working-with-us . Job Description The Decision Analyst will play an instrumental role for BMS, as they will be responsible for applying advanced statistical analysis and optimization techniques to support data-driven decision-making processes. The Decision Analyst will develop and implement descriptive/explanatory models, decision support models, segmentation strategies, portfolio analyses, test/experimental designs, and measurement frameworks to provide actionable insights and recommendations that enhance business performance and drive growth in the region. Roles & Responsibilities: Partner with senior analysts to implement statistical models, decision support models, and optimization techniques to solve complex business problems. Collaborate with cross-functional teams to gather/analyze data, define problem statements and identify KPIs for decision-making Apply statistical analysis, regression modelling, clustering, segmentation, etc. to uncover trends and drivers in the data Conduct portfolio analyses to optimize resource allocation, product positioning and investment strategies Partner with senior analysts to design & implement test designs to evaluate effectiveness of marketing campaigns, pricing strategies, or other business initiatives. Partner with senior analysts to develop measurement frameworks and KPI dashboards to monitor business performance and provide actionable insights to stakeholders Collaborate with stakeholders to understand business objectives and translate them into projects and actionable recommendations With senior analysts prepare reports and visualizations to communicate insights and recommendations to stakeholders at various levels of the organization Stay up-to-date with industry trends, emerging methodologies, and best practices related to statistical analysis, optimization and decision support Skills and Competencies: Strong analytical thinking and problem-solving skills with a working knowledge of statistical analysis, optimization techniques and decision support models Strong understanding of experimental design, hypothesis testing and A/B testing methodologies Solid ability to present complex information to non-technical stakeholders in a concise manner Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously Strong attention to detail and ability to work with large datasets to ensure accuracy and reliability of analysis Strong project management skills and the ability to work independently or as part of a team Strong business acumen and the ability to translate analytical findings into actionable insights and recommendations Experience: We welcome a bachelors or masters degree in a relevant field such as Statistics, Mathematics, Economics, Operations Research or a related discipline. Proven experience (typically 1 to 3 years) in a decision analysis, statistical modeling, or optimization role, preferably within the biopharma or pharmaceutical industry. Experience working with large datasets, statistical software packages (e. g. , R, SAS, Python) and data visualization tools Experience with descriptive/explanatory models, regression modeling, clustering, segmentation and portfolio analysis Familiarity with the biopharma industry, including market dynamics, regulatory requirements and healthcare data sources Certification or training in decision analysis, statistical modeling or related If you come across a role that intrigues you but doesn t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. With a single vision as inspiring as Transforming patients lives through science , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms. com . Visit careers. bms. com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers. bms. com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Transforming the Future of Enterprise Planning At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach By integrating siloed planning capabilities and capturing millions even billions in value leakage, we help businesses plan smarter and faster This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains What you ll have 5+ years of experience with implementing supply chain planning applications is a MUST Statistical, Optimization and Simulation skills through software tools and packages like R,SAS, CPLEX or similar is desirabe Deep understanding of supply chain planning concepts including Distribution Planning, Master Planning and S&OP Knowledge and training in databases (SQL Server, MySQL) and skills one or more languages like SQL, MDX, T-SQL or similar is desirable Proficient in the use of Microsoft Excel/PowerPoint for analysis and presentation Experience in a planning solution deployment wrt to business requirement determination, solution and process design decisions, best practices prescription and value deliverable Experience using agile methodology to deliver large scale enterprise implementations Ability to work collaboratively with cross functional teams, distributed across locations and time zones Education: Master s Degree Degrees in the following fields: Operations Research, Mathematics, Science, Engineering, Business Administration, Business Analytics, Computer Science, or related fields (including Supply Chain Engineering ) What we ll do for you Competitive salary with stock options to eligible candidates Flat organization: With a very strong entrepreneurial culture (and no corporate politics) Great people and unlimited fun at work Possibility to make a difference in a scale-up environment Opportunity to travel onsite in specific phases depending on project requirements Support network: Work with a team you can learn from everyday Diversity: We pride ourselves on our international working environment Work-Life Balance: https: / / youtube / IHSZeUPATBA?feature=shared Feel part of A team: https: / / youtube / QbjtgaCyhes?feature=shared How the process works Apply by clicking the button below You ll be contacted by our recruiter, who ll fill you in on all things at o9, give you some background about the role and get to know you They ll contact you either via video call or phone call - whatever you prefer During the interview phase, you will meet with technical panels for 60 minutes The recruiter will contact you after the interview to let you know if we d like to progress your application We will have 2 rounds of Technical discussion followed by a Hiring Manager discussion Our recruiter will let you know if you re the successful candidate Good luck! More about us At o9, transparency and open communication are at the core of our culture Collaboration thrives across all levels hierarchy, distance, or function never limit innovation or teamwork Beyond work, we encourage volunteering opportunities, social impact initiatives, and diverse cultural celebrations With a $37 billion valuation and a global presence across Dallas, Amsterdam, Barcelona, Madrid, London, Paris, Tokyo, Seoul, and Munich, o9 is among the fastest-growing technology companies in the world Through our aim10x vision, we are committed to AI-powered management, driving 10x improvements in enterprise decision-making Our Enterprise Knowledge Graph enables businesses to anticipate risks, adapt to market shifts, and gain real-time visibility By automating millions of decisions and reducing manual interventions by up to 90%, we empower enterprises to drive profitable growth, reduce inefficiencies, and create lasting value o9 is an equal-opportunity employer that values diversity and inclusion We welcome applicants from all backgrounds, ensuring a fair and unbiased hiring process Join us as we continue our growth journey!

Lowe s is a FORTUNE 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. About the Team The Transportation team in India is a part of the larger team that operates in Mooresville. We support our Mooresville team on various operational as well as reporting and project related activities. Our operations span across, Freight Pay, System Maintenance and Exception Management. We develop and support reporting for Purchase Orders, Carriers and 3PLs operating our DCC buildings. We also work on projects such as Utilization, Forecasting and Transportation Modeling. Job Summary: The primary purpose of this role is to help Lowe s become more efficient at managing our Transportation Operations and serving our internal customers by facilitating a center of excellence for data, analytics, insights, and reporting. In this role you will help drive the competitive advantage and assist Lowe s to model our transportation network by becoming a modeling expert. You will gain analytical and technical proficiencies as you design and help model our network and drive continuous improvement across Lowe s. You will work closely with the broader Supply Chain Team to understand requirements and provide analytical solutions, consulting and deliver business value. This role leverages multiple resources, advanced analytic methodologies and data streams to support recommendations for business decisions. This individual will lead strategic initiatives by collaborating across teams, if necessary, to solve identified business problems by gathering requirements and translating them into meaningful problem statements. The individual is expected to deliver results with high quality, timeliness and efficiency while identifying and implementing best methods and industry standards along the way. In addition, the individual will also support the team with process trainings within the team. To be successful, the individual in this role must have a strong understanding of analytical techniques and disparate data sources - both internal and external, and strong domain expertise. Roles & Responsibilities: Core Responsibilities: Develop skills to become an internal Super User of the Blue Yonder system Create and run simulations in Blue Yonder Transportation Modeling tool to evaluate different scenarios and predict outcomes Drive projects and initiatives that are of high priority to Supply Chain and deliver them as per timelines. Provide data, analytics, insights, and reporting expertise in support of transportation data flow, volume forecasting, rate optimization, load planning, non-retail movements, parcel, ecommerce, freight pay, lane analysis, carrier performance and real time metrics. Utilize your knowledge on how to best leverage disparate data sources, relevant external data and strong domain expertise, in order to deliver on the needs of the transportation team. Perform ad-hoc analyses supporting a vast array of business scenarios. Leverage your technical & analytical skills to perform analytical and project work ultimately ensuring a high quality deliverable that provides impactful as well as actionable insights to improve our network optimizations. Translates a business question into a qualtifiable problem statement and then collect, clean, transform and restructures data for mathematical or statistical analysis. Translates the results of your mathematical or statistical analysis back into business terms, present the findings and solutions in a comprehensible manner to the team before delivering the results to senior leadership so they can take necessary action. Manage multiple projects simultaneously and ensure deliverables are completed on time Responsible to continuously learn, share and implement new analytical methodologies and techniques. Collaborate with other stakeholders to identify transportation opportunities and refine model to drive cost savings and efficiencies for Lowe s Responsible for building best practices within the TMS and maintaining and improving the maintenance of the tool and optimization parameters Learn the Lowe s transportation network and the various modes and business we serve and identify areas where we have opportunity to model different scenarios Years of Experience: Overall 6+ years of Experience 6 years of experience in JDA TMS/T-MOD 5 years experience in Transportation, Logistics management 1-2 years experience reporting and data analytics 1-2 years experience of project management Education Qualification & Certifications (optional) Required Minimum Qualifications : Bachelor s Degree in Engineering, Supply Chain Management, Operations Research or Related Field MBA or master s degree in Supply Chain Skill Set Required Primary Skills (must have) Key skills: Blue Yonder Transportation Modeling tool, JDA TMS/T-MOD Knowledge of transportation planning principles and practices Supply Chain Management Expertise Transportation network modeling experience Experience in Data mining and visualization tool such as PoweBI, SQL, Python and Excel Ability to work independently and as part of a team, managing multiple projects and priorities Strong systems acumen Working knowledge of transportation operations Ability to manage and manipulate large data sets for use in analytical tools Excellent problem-solving and time management skills Experience with Python and Knime Analytics Secondary Skills (desired) Previous experience as a TMS super user, especially Blue Yonder or JDA Ability to manage projects end-to-end Experience in retail domain Experience in being part of a GCC Experience with handling different levels of stakeholders

Role Summary : We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities : - Lead and contribute to internal optimization-focused data science projects from design to deployment. - Develop and implement mathematical models to optimize resource allocation, process performance, and decision-making. - Use techniques such as linear programming, mixed-integer programming, heuristic and metaheuristic algorithms. - Collaborate with business stakeholders to gather requirements and translate them into data science use cases. - Build robust data pipelines and use statistical and machine learning methods to drive insights. - Communicate complex technical findings in a clear, concise manner to both technical and non-technical audiences. - Mentor junior team members and contribute to knowledge sharing and best practices within the team. Required Skills And Qualifications : - Masters or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related fields. - Minimum 8 years of relevant experience in data science, with a strong focus on optimization. - Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX. - Experience with end-to-end lifecycle of internal optimization projects. - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience working on internal company projects focused on logistics, resource planning, workforce optimization, or cost reduction. - Exposure to tools/platforms like Databricks, Azure ML, or AWS SageMaker. - Familiarity with dashboards and visualization tools like Power BI or Tableau. - Prior experience in consulting or internal centers of excellence (CoE) is a plus.

Role Summary : We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities : - Lead and contribute to internal optimization-focused data science projects from design to deployment. - Develop and implement mathematical models to optimize resource allocation, process performance, and decision-making. - Use techniques such as linear programming, mixed-integer programming, heuristic and metaheuristic algorithms. - Collaborate with business stakeholders to gather requirements and translate them into data science use cases. - Build robust data pipelines and use statistical and machine learning methods to drive insights. - Communicate complex technical findings in a clear, concise manner to both technical and non-technical audiences. - Mentor junior team members and contribute to knowledge sharing and best practices within the team. Required Skills And Qualifications : - Masters or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related fields. - Minimum 8 years of relevant experience in data science, with a strong focus on optimization. - Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX. - Experience with end-to-end lifecycle of internal optimization projects. - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience working on internal company projects focused on logistics, resource planning, workforce optimization, or cost reduction. - Exposure to tools/platforms like Databricks, Azure ML, or AWS SageMaker. - Familiarity with dashboards and visualization tools like Power BI or Tableau. - Prior experience in consulting or internal centers of excellence (CoE) is a plus.

Role Summary : We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities : - Lead and contribute to internal optimization-focused data science projects from design to deployment. - Develop and implement mathematical models to optimize resource allocation, process performance, and decision-making. - Use techniques such as linear programming, mixed-integer programming, heuristic and metaheuristic algorithms. - Collaborate with business stakeholders to gather requirements and translate them into data science use cases. - Build robust data pipelines and use statistical and machine learning methods to drive insights. - Communicate complex technical findings in a clear, concise manner to both technical and non-technical audiences. - Mentor junior team members and contribute to knowledge sharing and best practices within the team. Required Skills And Qualifications : - Masters or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related fields. - Minimum 8 years of relevant experience in data science, with a strong focus on optimization. - Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX. - Experience with end-to-end lifecycle of internal optimization projects. - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience working on internal company projects focused on logistics, resource planning, workforce optimization, or cost reduction. - Exposure to tools/platforms like Databricks, Azure ML, or AWS SageMaker. - Familiarity with dashboards and visualization tools like Power BI or Tableau. - Prior experience in consulting or internal centers of excellence (CoE) is a plus.

Role Summary : We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities : - Lead and contribute to internal optimization-focused data science projects from design to deployment. - Develop and implement mathematical models to optimize resource allocation, process performance, and decision-making. - Use techniques such as linear programming, mixed-integer programming, heuristic and metaheuristic algorithms. - Collaborate with business stakeholders to gather requirements and translate them into data science use cases. - Build robust data pipelines and use statistical and machine learning methods to drive insights. - Communicate complex technical findings in a clear, concise manner to both technical and non-technical audiences. - Mentor junior team members and contribute to knowledge sharing and best practices within the team. Required Skills And Qualifications : - Masters or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related fields. - Minimum 8 years of relevant experience in data science, with a strong focus on optimization. - Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX. - Experience with end-to-end lifecycle of internal optimization projects. - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience working on internal company projects focused on logistics, resource planning, workforce optimization, or cost reduction. - Exposure to tools/platforms like Databricks, Azure ML, or AWS SageMaker. - Familiarity with dashboards and visualization tools like Power BI or Tableau. - Prior experience in consulting or internal centers of excellence (CoE) is a plus.

Role Summary : We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities : - Lead and contribute to internal optimization-focused data science projects from design to deployment. - Develop and implement mathematical models to optimize resource allocation, process performance, and decision-making. - Use techniques such as linear programming, mixed-integer programming, heuristic and metaheuristic algorithms. - Collaborate with business stakeholders to gather requirements and translate them into data science use cases. - Build robust data pipelines and use statistical and machine learning methods to drive insights. - Communicate complex technical findings in a clear, concise manner to both technical and non-technical audiences. - Mentor junior team members and contribute to knowledge sharing and best practices within the team. Required Skills And Qualifications : - Masters or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related fields. - Minimum 8 years of relevant experience in data science, with a strong focus on optimization. - Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX. - Experience with end-to-end lifecycle of internal optimization projects. - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience working on internal company projects focused on logistics, resource planning, workforce optimization, or cost reduction. - Exposure to tools/platforms like Databricks, Azure ML, or AWS SageMaker. - Familiarity with dashboards and visualization tools like Power BI or Tableau. - Prior experience in consulting or internal centers of excellence (CoE) is a plus.

Role Summary : We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities : - Lead and contribute to internal optimization-focused data science projects from design to deployment. - Develop and implement mathematical models to optimize resource allocation, process performance, and decision-making. - Use techniques such as linear programming, mixed-integer programming, heuristic and metaheuristic algorithms. - Collaborate with business stakeholders to gather requirements and translate them into data science use cases. - Build robust data pipelines and use statistical and machine learning methods to drive insights. - Communicate complex technical findings in a clear, concise manner to both technical and non-technical audiences. - Mentor junior team members and contribute to knowledge sharing and best practices within the team. Required Skills And Qualifications : - Masters or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related fields. - Minimum 8 years of relevant experience in data science, with a strong focus on optimization. - Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX. - Experience with end-to-end lifecycle of internal optimization projects. - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience working on internal company projects focused on logistics, resource planning, workforce optimization, or cost reduction. - Exposure to tools/platforms like Databricks, Azure ML, or AWS SageMaker. - Familiarity with dashboards and visualization tools like Power BI or Tableau. - Prior experience in consulting or internal centers of excellence (CoE) is a plus.

Role Summary : We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities : - Lead and contribute to internal optimization-focused data science projects from design to deployment. - Develop and implement mathematical models to optimize resource allocation, process performance, and decision-making. - Use techniques such as linear programming, mixed-integer programming, heuristic and metaheuristic algorithms. - Collaborate with business stakeholders to gather requirements and translate them into data science use cases. - Build robust data pipelines and use statistical and machine learning methods to drive insights. - Communicate complex technical findings in a clear, concise manner to both technical and non-technical audiences. - Mentor junior team members and contribute to knowledge sharing and best practices within the team. Required Skills And Qualifications : - Masters or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related fields. - Minimum 8 years of relevant experience in data science, with a strong focus on optimization. - Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX. - Experience with end-to-end lifecycle of internal optimization projects. - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience working on internal company projects focused on logistics, resource planning, workforce optimization, or cost reduction. - Exposure to tools/platforms like Databricks, Azure ML, or AWS SageMaker. - Familiarity with dashboards and visualization tools like Power BI or Tableau. - Prior experience in consulting or internal centers of excellence (CoE) is a plus.

Role Summary : We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities : - Lead and contribute to internal optimization-focused data science projects from design to deployment. - Develop and implement mathematical models to optimize resource allocation, process performance, and decision-making. - Use techniques such as linear programming, mixed-integer programming, heuristic and metaheuristic algorithms. - Collaborate with business stakeholders to gather requirements and translate them into data science use cases. - Build robust data pipelines and use statistical and machine learning methods to drive insights. - Communicate complex technical findings in a clear, concise manner to both technical and non-technical audiences. - Mentor junior team members and contribute to knowledge sharing and best practices within the team. Required Skills And Qualifications : - Masters or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related fields. - Minimum 8 years of relevant experience in data science, with a strong focus on optimization. - Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX. - Experience with end-to-end lifecycle of internal optimization projects. - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience working on internal company projects focused on logistics, resource planning, workforce optimization, or cost reduction. - Exposure to tools/platforms like Databricks, Azure ML, or AWS SageMaker. - Familiarity with dashboards and visualization tools like Power BI or Tableau. - Prior experience in consulting or internal centers of excellence (CoE) is a plus.

Role Summary : We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities : - Lead and contribute to internal optimization-focused data science projects from design to deployment. - Develop and implement mathematical models to optimize resource allocation, process performance, and decision-making. - Use techniques such as linear programming, mixed-integer programming, heuristic and metaheuristic algorithms. - Collaborate with business stakeholders to gather requirements and translate them into data science use cases. - Build robust data pipelines and use statistical and machine learning methods to drive insights. - Communicate complex technical findings in a clear, concise manner to both technical and non-technical audiences. - Mentor junior team members and contribute to knowledge sharing and best practices within the team. Required Skills And Qualifications : - Masters or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related fields. - Minimum 8 years of relevant experience in data science, with a strong focus on optimization. - Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX. - Experience with end-to-end lifecycle of internal optimization projects. - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience working on internal company projects focused on logistics, resource planning, workforce optimization, or cost reduction. - Exposure to tools/platforms like Databricks, Azure ML, or AWS SageMaker. - Familiarity with dashboards and visualization tools like Power BI or Tableau. - Prior experience in consulting or internal centers of excellence (CoE) is a plus.

THE TEAM THE JOB Our mission is to build the world s best panel, made up of millions of members who experience the most enjoyable, engaging and rewarding data sharing experience of any data company in the world. As part of the department responsible for growing panel membership worldwide, our member support function plays a critical role in delivering world-class service to millions of members worldwide, handling tens of thousands of support requests from members each month. The Senior Member Support Manager will oversee and deliver the transformation of our support function into a high-performing, data-driven, and technology-enabled operation. This role will lead the execution of a new global member support strategy, embedding a first-time resolution mindset, scaling operations, and future-proofing service delivery through automation, self-serve solutions, and AI technologies. You will be accountable for the team performance and service delivery outcomes on a global scale. Your mission will be to elevate the member experience, deliver operational excellence, and champion service innovation. This is a high-impact management role requiring strong strategic mindset, operational expertise, leadership, process innovation, and a relentless focus on member advocacy. WHAT YOU WILL BE DOING Leading Support Digital Transformation Delivering on plans to meet our Inbox Zero objective, increase first-time resolution of requests and reduce overall resolution times through enhancement of our digital support offering. Leading the operational transition to omnichannel support and scaling future service delivery capabilities. Owning our support and reputation platforms (Zendesk Trustpilot), ensuring maximum use of product features to meet our objective and key results. Implementing Robust Policy Processes Developing and refining SOPs, escalation frameworks, and support policies to enable scale, compliance, and quality. Delivering initiatives to optimise digital support workflows, knowledge bases (for both members and employees), tools, and resources. Leveraging data and insights to design smarter, more efficient processes, using trend analysis to identify issues before they escalate. Continually refining support processes, to enhance member outcomes, and proactively address emerging service needs. Effective Workforce Management Managing a global support team of fifteen agents/supervisors, ensuring high standards of performance and accountability. Fostering a culture of excellence and care, to ensure every member interaction reflects the world s best panel. Leading hiring, talent evaluation, training, skills development, and coaching initiatives to build a highly capable, future-ready team. Serving as escalation point for complex or sensitive member cases, ensuring swift, effective, and member-centric resolutions. Ensuring Operational Excellence Establishing and monitoring key operational KPIs and SLAs across markets, ensuring consistent delivery of exceptional service levels and customer/member satisfaction scores. Implementing robust quality assurance processes to uphold high service standards and identify opportunities for service enhancement. Delivering lean, efficient operations including effective ticket triaging, backlog management, and advanced workforce planning to meet evolving member and business needs. Cross-Functional Collaboration Acting as ambassador for our members, collaborating closely with Platform, Operations, Research, and Product teams to identify and resolve recurring issues. Proactively advocating for support needs in cross-functional forums, influencing product roadmaps, service design, and process innovation. Promoting the role and value of the Member Support team internally, show-casing service excellence. KEY RESPONSIBILITIES WHAT YOU NEED TO KNOW (TECHNICAL BEHAVIOURAL SKILLS/COMPETENCIES) 10+ years of experience leading high-growth, high-volume, digitally focused customer/member support operations at scale. Proven experience of building and scaling global online support operations and omnichannel service ecosystems (email, live chat, self-service support). Demonstrated ability to meet SLAS, set KPIs and build standard-operating-procedures. Relentlessly customer/member-focused and passionate about delivering best experience for our members. Substantial hands-on experience of maximising value from support platforms (we use Zendesk) and managing digital transformation initiatives. Strong analytical capability and data-driven decision making, with advanced reporting and insight generation skills. Strong management and coaching skills, with a passion for developing and empowering diverse, inclusive teams. Proactive, solutions-oriented mindset with a strong bias for action and continuous improvement. Excellent stakeholder management, communication, and influencing skills across all levels of the organisation. Excellent collaborator, with a record of delivering cross-functional projects at pace. Enthusiastic about emerging technologies and their role in shaping next-generation digital service models. Company Description and Culture YouGov is a global online research company, offering insight into what the world thinks. We speak daily to our panel of over 27 million registered members to understand opinion and behaviors around the world. We have a strong reputation as a source of accurate data and we re trusted by the world s biggest brands to get it right, making us the most quoted market research source in the world. Why join YouGov Join our global team to help us achieve our social mission: to make millions of people s opinions heard for the benefit of our local, national, and international communities. Understanding diversity of opinion requires diversity of background. Although our global panel of millions of people worldwide powers our research, our biggest asset is our people. If our research is to be truly representative of what the world thinks, we need people from all walks of life to be part of the team to bring their perspective to the work we do. Life at YouGov We are driven by a set of shared values. We are fast, fearless, and innovative. We work diligently to get it right. We are guided by accuracy, ethics, and proven methodologies. We respect and trust each other, bringing these values into everything that we do. We strive to provide YouGovers with best-in-class benefits to support their physical, financial, and emotional wellbeing. We want our employees to have a sense of belonging and uniqueness in a supportive workplace, so they can bring their full selves to work. Equal Opportunity Employer Data Privacy To find out how we collect and use your personal data when you apply for a role at YouGov, please read our privacy notice at https://jobs.yougov.com/privacy

Welcome to join a fast-growing team breaking new grounds at Amazon. We are looking for Software Development Engineers to join our Family. If you can Think Big, Dive Deep and are curious to Learn, you have our DNA and we need you. Amazon B2B Payments and Lending (ABPL) revolutionizes financial services for businesses of all sizes, anywhere in the world, enabling them to delight their customers and make a positive impact to the communities they serve. We never stop innovating to earn their trust by leveraging our scale, insights, and technology, and raise the bar with simple, secure, and seamless solutions. To support our mission, we are expanding our Engineering, Operations, Research, Finance, Product Management, Marketing and Data teams. We are working together to extend the global reach of Payments and Lending and launch the next generation of products and customer experiences. What makes our team so special Team Culture: Our Team is defined by its people. Our strength is our team. Your peer SDEs, SDMs, TPMs, Product Team, Marketers, and Ops will be very supportive and help each other. Every one of us are highly motivated and passionate contributors who seeks to achieve more, at a faster pace and share knowledge across the team. We love challenges and we overcome them together as a Team. We align to our goals, execute and celebrate our successes as a team. Every day here is Day 1. Growth/Skills: The ABPL organization provides all ingredients for skills development and a quick career growth. We develop your autonomy and leadership skills to make you a future leader. You will own your own programs relying on the state-of-the-art AWS technologies. You will be exposed to SDMs with cross ABPL initiatives and communicate with all internal or external stakeholders. You will have the opportunity to influence the product and technical roadmap. With a scope in expansion and the engagement of our talents, our organization has been able to retain persistent growth for our team members. Work Life Balance: Work-life balance is the equilibrium between personal life and career work. Our team feels this is an important aspect of a healthy work environment. Maintaining work-life balance helps reduce stress and helps prevent burnout in the workplace. Our Internal employee engagement and satisfaction surveys, operations metrics are high rated and convey the work life balance we maintain at our team. As a Software Development Engineer: You will be responsible for design, development, test, deploy, deliver and support the large-scale, multi-tiered, distributed software applications and tools that serve Amazon Business Customers. You will work as full-stack engineers building end to end experiences on Front-end, UI, UX frameworks / Back-end, REST APIs, leveraging a wide array of AWS services including EC2, S3, API Gateway, Workflow service, Step Function, DynamoDB, Lambda and infra-as-code with CDK scripts and much more. If youre excited about cloud computing and want to help lead from the innovative edge, join us in making the most impact in financial products! 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelors degree in computer science or equivalent

TJX Companies At TJX Companies, every day brings new opportunities for growth, exploration, and achievement. You ll be part of our vibrant team that embraces diversity, fosters collaboration, and prioritizes your development. Whether you re working in our four global Home Offices, Distribution Centers or Retail Stores TJ Maxx, Marshalls, Homegoods, Homesense, Sierra, Winners, and TK Maxx, you ll find abundant opportunities to learn, thrive, and make an impact. Come join our TJX family a Fortune 100 company and the world s leading off-price retailer. Job Description: About TJX: At TJX, is a Fortune 100 company that operates off-price retailers of apparel and home fashions. TJX India - Hyderabad is the IT home office in the global technology organization of off-price apparel and home fashion retailer TJX, established to deliver innovative solutions that help transform operations globally. At TJX, we strive to build a workplace where our Associates contributions are welcomed and are embedded in our purpose to provide excellent value to our customers every day. At TJX India, we take a long-term view of your career. We have a high-performance culture that rewards Associates with career growth opportunities, preferred assignments, and upward career advancement. We take well-being very seriously and are committed to offering a great work-life balance for all our Associates. What you ll discover Inclusive culture and career growth opportunities A truly Global IT Organization that collaborates across North America, Europe, Asia and Australia, click here to learn more Challenging, collaborative, and team-based environment What you ll do The Global Supply Chain - Logistics Team is responsible for managing various supply chain logistics related solutions within TJX IT. The organization delivers capabilities that enrich the customer experience and provide business value. We seek a motivated, talented Staff E ngineer with good understanding of cloud base, database and BI concepts to help architect enterprise reporting solutions across global buying, planning and allocations . What you ll need The Global Supply Chain - Logistics Team thrives on strong relationships with our business partners and working diligently to address their needs which supports TJX growth and operational stability. On this tightly knit and fast-paced solution delivery team you will be constantly challenged to stretch and think outside the box . You will be working with product teams, architecture and business partners to strategically plan and deliver the product features by connecting the technical and business worlds. You will need to break down complex problems into steps that drive product development while keeping product quality and security as the priority. You will be responsible for most architecture, design and technical decisions within the assigned scope. Key Responsibilities: Design, develop, test and deploy AI solutions using Azure AI services to meet business requirements , working collaboratively with architects and other engineers. Train, fine-tune, and evaluate AI models, including large language models (LLMs), ensuring they meet performance criteria and integrate seamlessly into new or existing solutions. Develop and integrate APIs to enable smooth interaction between AI models and other applications, facilitating efficient model serving. Collaborate effectively with cross-functional teams, including data scientists, software engineers, and business stakeholders, to deliver comprehensive AI solutions. Optimize AI and ML model performance through techniques such as hyperparameter tuning and model compression to enhance efficiency and effectiveness. Monitor and maintain AI systems, providing technical support and troubleshooting to ensure continuous operation and reliability. Create comprehensive documentation for AI solutions, including design documents, user guides, and operational procedures, to support development and maintenance. Stay updated with the latest advancements in AI, machine learning, and cloud technologies, demonstrating a commitment to continuous learning and improvement. Design, code, deploy, and support software components, working collaboratively with AI architects and engineers to build impactful systems and services. Lead medium complex initiatives, prioritizing and assigning tasks, providing guidance, and resolving issues to ensure successful project delivery. Minimum Qualifications Bachelors degree in computer science, engineering, or related field 8 + years of experience in data /software engineering, design, implementation and architecture. At least 5+ years of hands-on experience in developing AI/ML solutions, with a focus on deploying them in a cloud environment . Deep understanding of AI and ML algorithms with focus on Operations Research / Optimization knowledge ( preferably M etaheuristics / Genetic Algorithms) . Strong programming skills in Python with advanced OOPS concepts. Good understanding of structured, semi structured, and unstructured data, Data modelling, Data analysis, ETL and ELT . Proficiency with Databricks & PySpark . Experience with MLOps practices including CI/CD for machine learning models. Knowledge of security best practices for deploying AI solutions, including data encryption and access control. Knowledge of ethical considerations in AI, including bias detection and mitigation strategies. This role operates in an Agile/Scrum environment and requires a solid understanding of the full software lifecycle, including functional requirement gathering, design and development, testing of software applications, and documenting requirements and technical specifications. Fully Owns Epics with decreasing guidance. Takes initiative through identifying gaps and opportunities. Strong communication and influence skills. Solid team leadership with mentorship skills Ability to understand the work environment and competing priorities in conjunction with developing/meeting project goals . Shows a positive, open-minded, and can-do attitude . Experience in the following technologies: Advanced Python programming ( OOPS) Operations Research / Optimization knowledge ( preferably M etaheuristics / Genetic Algorithms) Databricks with Pyspark Azure / Cloud knowledge Github / version control Functional knowledge on Supply Chain / Logistics is preferred. In addition to our open door policy and supportive work environment, we also strive to provide a competitive salary and benefits package. TJX considers all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status, or based on any individuals status in any group or class protected by applicable federal, state, or local law. TJX also provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. Address: Salarpuria Sattva Knowledge City, Inorbit Road Location: APAC Home Office Hyderabad IN

Role Summary : We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities : - Lead and contribute to internal optimization-focused data science projects from design to deployment. - Develop and implement mathematical models to optimize resource allocation, process performance, and decision-making. - Use techniques such as linear programming, mixed-integer programming, heuristic and metaheuristic algorithms. - Collaborate with business stakeholders to gather requirements and translate them into data science use cases. - Build robust data pipelines and use statistical and machine learning methods to drive insights. - Communicate complex technical findings in a clear, concise manner to both technical and non-technical audiences. - Mentor junior team members and contribute to knowledge sharing and best practices within the team. Required Skills And Qualifications : - Masters or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related fields. - Minimum 8 years of relevant experience in data science, with a strong focus on optimization. - Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX. - Experience with end-to-end lifecycle of internal optimization projects. - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience working on internal company projects focused on logistics, resource planning, workforce optimization, or cost reduction. - Exposure to tools/platforms like Databricks, Azure ML, or AWS SageMaker. - Familiarity with dashboards and visualization tools like Power BI or Tableau. - Prior experience in consulting or internal centers of excellence (CoE) is a plus.

Role Summary : We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities : - Lead and contribute to internal optimization-focused data science projects from design to deployment. - Develop and implement mathematical models to optimize resource allocation, process performance, and decision-making. - Use techniques such as linear programming, mixed-integer programming, heuristic and metaheuristic algorithms. - Collaborate with business stakeholders to gather requirements and translate them into data science use cases. - Build robust data pipelines and use statistical and machine learning methods to drive insights. - Communicate complex technical findings in a clear, concise manner to both technical and non-technical audiences. - Mentor junior team members and contribute to knowledge sharing and best practices within the team. Required Skills And Qualifications : - Masters or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related fields. - Minimum 8 years of relevant experience in data science, with a strong focus on optimization. - Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX. - Experience with end-to-end lifecycle of internal optimization projects. - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience working on internal company projects focused on logistics, resource planning, workforce optimization, or cost reduction. - Exposure to tools/platforms like Databricks, Azure ML, or AWS SageMaker. - Familiarity with dashboards and visualization tools like Power BI or Tableau. - Prior experience in consulting or internal centers of excellence (CoE) is a plus.

Job Title: Senior Data Scientist Location: Bangalore Job Title: Assistant Manager - Security Engineering Location: UniOps Bangalore ABOUT UNILEVER: Every individual here can bring their purpose to life through their work. Join us and you ll be surrounded by inspiring leaders and supportive peers. Among them, you ll channel your purpose, bring fresh ideas to the table, and simply be you. As you work to make a real impact on the business and the world, we ll work to help you become a better you. ABOUT UNIOPS: Unilever Operations (UniOps) is the global technology and operations engine of Unilever offering business services, technology, and enterprise solutions. UniOps serves over 190 locations and through a network of specialized service lines and partners delivers insights and innovations, user experiences and end-to-end seamless delivery making Unilever Purpose Led and Future Fit Background For Unilever to remain competitive in the future, the business needs to continue on the path to become data intelligent. The Data Analytics team will persevere to make Unilever Data Intelligent, powering key decisions with data, insights, advanced analytics and AI. Our ambition is to enable democratization of data, information and insights as a completely agile organization that builds fantastic careers for our people and is accountable for delivering great work that maximizes impact and delivers growth. This Data Analytics function endeavours to create clear accountability for all aspects of Data Strategy, Data Management, Information Management, Analytics, and Insights. We are accountable for impact of solutions, maintaining market relevance and minimising unnecessary overlaps in analytics products, ensuring simplicity and that our solutions better meet the needs of our users. We partner with the Digital and Data Legal Counsel to ensure that our Data Defence (Privacy, Governance, Quality, etc) is well structured and sufficiently robust to use data and AI correctly throughout the enterprise. We democratize information across the business, while supporting the culture shift required for data driven decision making. Our vision is to make Unilever data intelligent, partnering with the business to power key decisions with data, advanced analytics and AI to accelerate growth. Our 5 strategies to achieve this are: Accelerate simplify access to relevant data, information and insights Build in-house, leading-edge data, information, insights analytics capability Lead the data insights culture and careers to empower employees across Unilever Rapidly embed analytics products, solutions and services to drive growth Advance Information Automation at Scale The Senior Data Scientist is an exciting role in the Data Foundation. This team builds state of the art machine learning algorithms, maximising the impact of analytic solutions in driving enterprise performance. Typical initiatives include optimizing trade promotion investments, accurately forecasting customer demand, using NLP to glean insight on consumer trends from search data, and making individual assortment recommendations for each of the millions of stores that sell Unilever products. Main Purpose of the Job: The Senior Data Scientist improves business performance in the functional area of Unilever they serve, through the application of world class data science capability. They own delivery of data science on moderate projects or specific modules of a major global initiative. Key accountabilities: Interact with relevant teams to identify business challenges where data science can help Apply comprehensive data science knowledge to propose optimal techniques for key business challenges Create detailed data science proposals and project plans, flagging any limitations of proposed solution Design and prototype experimental solutions, particularly machine learning models Design scaled solutions and ensure high quality and timely delivery Facilitate industrialization and ongoing operation of solutions through well organised code, clear documentation and collaboration with ML Ops resources Govern the work of 3rd party vendors where needed to support delivery, while maximising creation of Unilever IP Represent Data Science in cross-functional governance of projects, engaging with stakeholders up to Director level Highlight recent developments in data science capability which could solve additional challenges Lead a team of up 1-2 data scientists / interns, providing career mentorship and line management Provide technical guidance to data scientists across DA, particularly on the projects you lead Support the growth of DA s data science capability by contributing to activities such as tool and vendor selection, best practice definition, recruitment, and creation of training materials Build the reputation of DA s data science capability within Unilever and externally, through activities such as community engagement (e. g. Yammer), publications or blogs Provide ad-hoc immediate support to the business when needed (for example Covid-19 crisis support) Depending on the specific project, the Senior Data Scientist can expect 60-90% of their work to be hands-on prototyping solutions, with the remainder spent planning and designing, overseeing and reviewing work of project staff, interfacing with stakeholders and managing team members. Experience and qualifications required: Standards of Leadership Required in This Role Personal Mastery (Data-science and advanced analytics) Agility Business acumen Passion for High Performance Key Skills Required Professional Skills Machine learning - Expert Statistical modelling - Expert Forecasting - Expert Optimisation techniques and tools - Fully Operational Python coding - Fully Operational Data science platform tools e. g. MS Azure, Databricks - Fully Operational Deep learning (and applications to NLP Computer Vision) - Fully Operational Collaborative development using Git repos - Fully Operational Automated Machine Learning platforms - Foundational knowledge While a broad data science technical background is required, the role will benefit from deeper skills (for example graduate studies or prior work experience) in one of the following areas, optimization, simulation, forecasting, natural language processing, computer vision or geospatial analysis. General Skills Project Management - Expert Communication / presentation skills - Expert 3rd party resource management - Expert CPG Industry analytics - Expert Strong communication and stakeholder engagement skills are essential, including the ability to influence peers and senior business stakeholders across Unilever. Relevant Experience: Minimum of B. E. in a relevant technical field (e. g. Computer Science, Engineering, Statistics, Operations Research); preferably a postgraduate (Masters or Doctorate) degree At least 4 years building data science solutions to solve business problems, preferably in the CPG industry (less experience may be acceptable if balanced by strong post-grad qualifications) Experience with open source languages (eg. Python) and preferably with distributed computing (PySpark) Experience deploying solutions in a modern cloud-based architecture Experience managing the work of team members and 3rd party resource vendors Experience presenting insights and influencing decisions of senior non-technical stakeholders Key interfaces Internal Unilever operational, marketing, customer development, supply chain, product finance teams Internal DA teams (Engagement teams; Data CoE; Solution Factory; BDL Factory; Information Factory; Tech Transformation) Wider Unilever analytics and data science professionals External 3rd party Data Science vendors Universities Industry bodies

Job description Participate in client engagements in enhancing current statistical models and develop new models for business needs or design of experiments for test/control analysis and business process trials. Consult with cross-functional teams on matters relating to Machine Learning, knowledge discover, data modeling, and analytics. Own predictive models/ML and DOE/A-B testing areas of production ready ML models hosted across multiple systems. Develop business context for environment and ML uses/applications and deep knowledge of data inputs, outputs, and statistical testing/modeling Write/Run data extraction algorithms to acquire data from primary or secondary data sources and ability to describe/direct data requests for representative data necessary for analyses Develop statistical tests and predictive solutions to make business recommendations for decisioning Train/develop models, run evaluation experiments, and perform statistical analysis of results, refine and test / validate models in production Develop understanding of data framework and how it relates to business use, specific process time points, and make recommendations for any new data needs. Coordinate with data engineers to ensure data is representative of analysis solutions. Use of data analytics and other strategies that optimize statistical efficiency and quality Interpret data, analyze results using statistical techniques and provide ongoing reports Identify, analyze, and interpret trends or patterns in complex data sets Work with management to prioritize business and information needs Perform Ad Hoc Data Analysis and reporting for model performance Locate and define new process improvement opportunities for testing and predictive modeling Qualifications Required / Desired Skills Advanced degree in one or more quantitative discipline Operations Research, Stats, Math, Comp Sci, Engineering, Economics or similar Experience in developing a variety of machine learning models algorithms in a commercial environment with a track record of creating meaningful business impact. Proficient with Pyspark, noSQL and Python and distributed programming Expertise working in MongoDb, Snowflake, Databricks and cloud computing platforms (AWS, GCP or Azure), or equivalent on-premise platform and deployment Experience in client engagements, interpreting client s business challenges, and recommendations for statistical analysis solutions (ie analytical consulting and solution design) Experience in presentation design, development, delivery, and communication skills to present analytical results and recommendations for action-oriented data driven decisions and associated operational and financial impacts. Experience in Gen AI, LLM Workflow, Graph RAG etc is an added advantage. Flexible to work in shift model.

Leverage quantitative skills to derive answers to clients ongoing business analytics and reporting questions. Work collaboratively with clients to ascertain the client s specific business information needs. Execute a specific plan for analyzing the data necessary to secure solutions to clients particular business information need(s ). Discuss and determine with clients which specific data may be best utilized in order to perform the necessary analysis. Evaluate, assess and analyze the data necessary to provide solutions to the client s particular business information needs. Communicate the data results to the client, with an emphasis on answering the business question as opposed to the analytical and reporting processes used. Gain immediate familiarity with client s internal processes. Develop expertise within a client analytics area. Be available for clients during regular working hours. What you'll Bring MBA with a bachelors (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering. Alternately, candidates may possess a PhD in marketing, economics, decision sciences or related field with a business application. In lieu of an MBA or PhD, 5-8 years of relevant work experience may substitute. Up to 3 years of post-MBA relevant work experience, and 3-5 years of pre-MBA relevant work experience, with evidence of strong analytic work (including use of advanced modeling techniques and tools such as R, SAS, Tableau, or VBA High motivation, good work ethic, maturity and personal initiative Aptitude for, and enjoyment of, leading and managing teams. Effective oral and written communication skills that enable personal impact with senior-level decision makers. Strong attention to detail, with a quality-focused mindset Analytic problem-solving skills, with a creative and innovative outlook Client service orientation

Job_Description":" Business Analyst- Job description The Business Analyst works directly within our solutions\u2019 team to design, build, deploy, and services of ZOHO products that meet client needs. The BA performs a range of activities that span traditional product and service roles, including CRM, Creator, People, Recruit. Our BA will be an active advisor to both our customers and our product team: they are data curious, learning-oriented, and enjoy analytical problem solving while collaborating with other team members to solve a variety of business problems. Key Responsibilities *Collaborate internally and with customers from across several functional areas to understand key functional needs and translate these needs into the creation of new product features and enhancements to existing product features *Manage roll-out of new product features to customers, including training relevant users and communicating updates with management *Migrate data from different systems into Zoho One or other platforms Execution of new functionality such as layouts, custom objects, and fields, reports and dashboards *Schedule and manage emailed reports to client sales teams *Collaborate with SFDC architect/developer as needed to test new functionality and implement sandbox change sets *Ensure data quality in customer deliverables via rigorous quality review prior to release *Design and build the user functionality on customer-facing layer of our product, including various role interfaces and the creation of reports and dashboards as needed Required: *Experience in CRM or software deployment is a must *Ability to learn new technology and take creative approaches to problem-solving and a relentless passion for quality Track record of working in teams and managing customer-focused projects *Excellent written and oral communication Preferred: Familiarity with the ZOHO, SalesForce etc. Expertise in commercial analytics Related graduate-level degree. Academic training in operations research, informatics, and engineering or computer science is also a plus. Job Type: Full-time Pay: 2LPA - 3LPA Contact: 8121020691/ swathi.c@nexivo.co Requirements -Excellent Communication Skills - Drafting BRD -Creating Process flows/Blueprints -Client Interaction -Ability to write user stories -Internal Testing ","

Job Responsibilities: Provide top-class consultancy to support our clients in Container Terminal operations. Help build your and your company s client portfolio. Develop and implement strategies to optimize container terminal operations. Conduct thorough analyses of current terminal processes and identify areas for improvement. Evaluate and redesign terminal processes to enhance efficiency, reduce turnaround times, and minimize costs. Implement best practices and industry standards in terminal operations and workflow management. Assess and recommend technological solutions and tools to support terminal optimization, including automation systems and software platforms. Oversee the integration of new technologies and ensure they are aligned with operational goals. Collaborate with terminal management, staff, and other stakeholders to understand operational challenges and requirements. Facilitate workshops and training sessions to promote the adoption of optimization strategies and tools. Develop key performance indicators (KPIs) to monitor the effectiveness of optimization initiatives. Prepare detailed reports and presentations on performance metrics, progress, and outcomes. Coordinate with cross-functional teams to achieve project goals and resolve any issues that arise. Ensure that optimization practices comply with industry regulations, safety standards, and company policies. Promote a culture of safety and operational excellence within the terminal. Implementing advanced modules like Expert Decking, Auto Stow Prime Route, ASC Scheduler, Horizontal Transport Scheduler, etc. Mentoring Terminal Control Room users in their daily tasks Minimum Qualifications: Bachelor s degree in Logistics, Supply Chain Management, Operations Research, or a related field. Minimum of 5 ~ 7 years of experience in Terminal Operations, logistics, or supply chain management, with a focus on Optimization. Experience in managing key client relationships & business consulting. Someone who can think out of the box and make recommendations that add value to our clients. Previous working experience in a project environment and having the ability to understand key milestones, risks & change management. Proven track record of successful optimization projects in a container terminal or similar environment. Experience with Terminal operating systems (TOS - Navis in particular) or other relevant software tools. Excellent problem-solving abilities and attention to detail. Effective communication and interpersonal skills, with the ability to collaborate with diverse teams and stakeholders. Strong analytical skills with proficiency in data analysis, statistical methods, and optimization techniques. Ability to travel as required for site assessments and client engagements. Strong understanding of industry trends and best practices in container terminal operations. Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.