3878 R Jobs - Page 2

At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform the o9 Digital Brain we integrate global enterprises siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesnt stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too. We&aposre on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, well provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the plane t What youll do for us: Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks Develop and/or optimize models for demand sensing/forecasting, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc. Use latest advancements in AI/ML to solve business problems Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons Application of common business metrics (Forecast Accuracy, Bias, MAPE) and the ability to generate new ones as needed. Develop or optimize modules to call web services for real time integration with externa systems Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects What youll have: Experience: 4+ Years of experience in time series forecasting in scale using heuristic-based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning. Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc. Should be from a statistical background. Education: Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field Languages: Python and/or R for Data Science Skills: Deep Knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing. Characteristics: Independent thinkers Strong presentation and communications skills We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function. Nice to have: Experience with SQL, databases and ETL tools or similar is optional but preferred Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologies Experience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable Experience in implementing planning applications will be a plus Understanding of Supply Chain Concepts will be preferable Masters Degree in Computer Science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related field What well 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://youtu.be/IHSZeUPATBAfeature=shared Feel part of A team: https://youtu.be/QbjtgaCyhesfeature=shared How the process works Apply by clicking the button below Youll be contacted by our recruiter, wholl fill you in on all things at o9, give you some background about the role and get to know you. Theyll 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 wed 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 youre the successful candidate. Good luck! More about us With the latest increase in our valuation from $2.7B to $3.7B despite challenging global macroeconomic conditions, o9 Solutions is one of the fastest-growing technology companies in the world today. Our mission is to digitally transform planning and decision-making for the enterprise and the planet. Our culture is high-energy and drives us to aim 10x in everything we do. Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks and many others. Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore an d Munich. o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, colour, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law Show more Show less

Company Description FACE Prep is one of India&aposs largest placement-focused skill development companies for job preparation. Since its inception in 2008, FACE Prep has helped millions of students start their careers in the tech sector. Our programs include Masterclasses, self-paced last-mile prep, and workshops/bootcamps designed to equip students with the skills required for top-paying tech jobs. Our alumni are employed globally in leading tech companies like Google, Microsoft, Meta, Adobe, and Amazon. Role Description This is a full-time, on-site role located in Tirupati for a Machine Learning and Data Science Faculty (Mentor). The Faculty will be responsible for mentoring students, preparing and delivering course materials, conducting workshops and bootcamps, and providing feedback on student progress. Other day-to-day tasks include developing curriculum, collaborating with other faculty members, and staying updated with the latest industry trends in machine learning and data science. Qualifications Strong understanding and expertise in Machine Learning, Data Science, and related technologies Experience in developing and delivering educational content Excellent communication and mentoring skills Ability to conduct research and stay updated with industry trends Proficiency in programming languages such as Python, R, and SQL Experience with data visualization tools like Tableau or Power BI Ability to work collaboratively with other faculty members and industry professionals Masters degree or PhD in Computer Science, Data Science, or a related field is preferred Show more Show less

You are a highly skilled and experienced Senior Data Scientist with a strong background in Artificial Intelligence (AI) and Machine Learning (ML). You will be joining our team as an innovative, analytical, and collaborative team player with a proven track record in end-to-end AI/ML project delivery. This includes expertise in data processing, modeling, and model deployment. With a minimum of 5-7 years of experience in data science, your focus will be on AI/ML applications. Your technical skills will include proficiency in a wide range of ML algorithms such as regression, classification, clustering, decision trees, neural networks, and deep learning architectures (e.g., CNNs, RNNs, GANs). Strong programming skills in Python, R, or Scala are required, along with experience in ML libraries like TensorFlow, PyTorch, and Scikit-Learn. You should have experience in data wrangling, cleaning, and feature engineering, with familiarity in SQL and data processing frameworks like Apache Spark. Model deployment using tools like Docker, Kubernetes, and cloud services (AWS, GCP, or Azure) should be part of your skill set. A strong foundational knowledge in statistics, probability, and mathematical concepts used in AI/ML is essential, along with proficiency in data visualization tools such as Tableau, Power BI, or matplotlib. Preferred qualifications include familiarity with big data tools like Hadoop, Hive, and distributed computing. Hands-on experience in NLP techniques like text mining, sentiment analysis, and transformers is a plus. Expertise in analyzing and forecasting time-series data, as well as familiarity with CI/CD pipelines for ML, model versioning, and performance monitoring, are also preferred. Leadership skills such as leading cross-functional project teams or managing data science projects in a production setting are valued. Your personal attributes should include problem-solving skills to break down complex problems and design innovative, data-driven solutions. Strong written and verbal communication skills are necessary to convey technical insights clearly to diverse audiences. A keen interest in staying updated with the latest advancements in AI and ML, along with the ability to quickly learn and implement new technologies, is expected from you.,

Skills & Qualifications Exp - 4-6 years in Real world data analysis Qualification - Masters/PhD in statistics, M. Tech, M. Pharma Strong foundation in large database analysis, biostatistics, clinical trial, observational research and epidemiology Experience with handling large databases like administrative claims, electronic health records, patient chart review, Ability to manage multiple projects and deliver results under tight timelines Excellent interpersonal skills and analytical thoughts Tool & Platform Expertise Healthcare coding system ICD9 and 10, HCPCS, CPT, NDC etc. Use programming languages and tools such as SAS, R, R-Shiny, SQL, Python, Power BI Familiarity with RWE platforms like AWS, SAGEMAKER, AZURE and data standards like CDISC Core Responsibilities Data Analysis & Interpretation Analyse large datasets from sources like electronic health records, claims databases, and registries Apply statistical methods to assess patient journey, treatment outcomes, and healthcare utilization and capable to provide key insights and takeaways Study Design & Execution Develop protocols, statistical analysis plans, and research proposals Conduct observational studies and retrospective analyses using real-world data Collaboration & Communication Work cross-functionally with medical affairs, epidemiology, health economics, and commercial teams Excellent presentation skills Don&apost meet every job requirement That&aposs okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you&aposre excited about this role, but your experience doesn&apost perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others. Show more Show less

As a Data Science Consultant specializing in the Contact Center domain, you will be part of an innovative team dedicated to transforming customer interactions through data-driven intelligence. You will focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Your work will involve analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. You will be responsible for building conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, you will enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If you are passionate about applying data science to solve real-world customer experience challenges, this is the team for you! In this role, you will play a key part in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include developing and fine-tuning Generative AI models, building and deploying ML models for various use cases, performing customer segmentation and behavioral analysis, optimizing conversational AI workflows, analyzing large-scale customer interaction data, and collaborating with cross-functional teams to integrate AI-driven solutions into existing platforms. This position offers the opportunity to work on cutting-edge AI and data science techniques, driving real-world impact in the contact center space.,

About Marriott: Marriott Tech Accelerator is part of Marriott International, a global leader in hospitality. Marriott International, Inc. is a leading American multinational company that operates a vast array of lodging brands, including hotels and residential properties. It consists of over 30 well-known brands and nearly 8,900 properties situated in 141 countries and territories. Role Title: Security Data Scientist Position Summary: Marriott International's Global Information Security is seeking an experienced Security Data Scientist who can combine expertise in cybersecurity with data science skills to analyze and protect Marriott's digital assets. Job Responsibilities: Perform data cleaning, analysis, and modeling tasks. Work under guidance of senior team members to: Analyze large datasets related to cybersecurity threats and incidents. Implement existing machine learning models and algorithms to detect anomalies and potential security breaches. Support SDL tools (e.g., big data, ML/AI technologies). Create data visualizations and reports to communicate insights to stakeholders. Collaborate with cybersecurity teams to implement data-driven security solutions. Stay up to date with the latest cyber threats and data science techniques. Help to maintain and document SDL MLOps processes and procedures. Skill and Experience: 2-4 years of data science, data analytics, data management, and/or information security experience that includes: 2+ years of experience in data science/data analytics in an enterprise environment. 1+ years of experience in information protection/information security. Strong background in statistics, mathematics, and software engineering (e.g., Proficiency in Python, R). Experience with machine learning algorithms and frameworks as well as AI techniques. Knowledge of cybersecurity principles, tools, and best practices. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies. Understanding of data visualization tools like Power BI. Preferred: Programming languages: Python, R, SQL. Machine learning frameworks: TensorFlow, PyTorch, scikit-learn. Big data technologies: Hadoop, Spark, and Kafka. Cloud platforms: AWS, Azure, GCP. Data visualization tools: Tableau, Power BI. Relevant certifications such as data science certifications, CISSP, CEH. Verbal and written communication skills. Education and Certifications: Bachelor's degree in computer/data science, information management, Cybersecurity, or related field or equivalent experience/certification. Work location: Hyderabad, India. Work mode: Hybrid.,

As a Senior Data Scientist, you will lead data-driven projects and play a key role in shaping the data science strategy of the organization. Your responsibilities will include developing advanced algorithms, managing large-scale datasets, and providing mentorship to junior team members. You will design and implement complex statistical models and machine learning algorithms, ensuring high-quality deliverables from project conception to deployment. Additionally, you will guide junior data scientists, collaborate with business stakeholders to define project objectives, and deliver actionable insights. To be successful in this role, you should hold a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. With at least 5 years of experience in data science, you must demonstrate a proven track record of leading successful projects. Deep understanding of advanced machine learning techniques, including deep learning and ensemble methods, is essential. Proficiency in programming languages like Python or R, experience with big data technologies (e.g., Apache Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP), and advanced data visualization skills are required. Moreover, you should possess excellent problem-solving and analytical skills with a strategic mindset. Strong communication and leadership skills are crucial for effectively influencing stakeholders at all levels. You will be expected to present findings to executive leadership and recommend data-driven strategies for business growth. In terms of business needs, you should be able to meet with different levels of management, understand industry-specific use cases, and handle clients across multiple industries simultaneously. Additionally, you must have the capability to create dashboards and build stories for top management presentations based on data insights.,

Summary As a key contributor within the R&D organization at Hollister Incorporated, the Scientific Communications Writer will play a critical role in transforming complex technical data and research findings into compelling, accurate, and accessible scientific content. This individual will partner with Ostomy Technology Development and cross functional business teams to support the development of technical publications, white papers, abstracts, and internal education materials. The ideal candidate will have strong scientific acumen, data interpretation skills, publications and a solid foundation in statistics and testing methodologies commonly used in medical devices or healthcare research. Responsibilities People & Collaboration Partner closely with cross-functional teams in R&D to understand scientific narratives and translate them into high-quality technical and educational content. Establish and maintain strong relationships with technical experts, product development scientists, and global stakeholders to align messaging with Hollister&aposs scientific and innovation strategy. Collaborate with statisticians, test engineers, and lab scientists to interpret and communicate results from experiments and clinical evaluations. Performance & Execution Deliver timely, scientifically accurate, and well-structured publications, including slide decks, technical white papers, posters, abstracts, and manuscripts for internal and external dissemination. Provide data-driven support for scientific messaging by conducting literature searches, analyzing and summarizing experimental, analytical, or clinical datasets using descriptive and inferential statistics. Review and revise draft materials to ensure data integrity, clarity, consistency, and compliance with applicable scientific and regulatory standards. Process & Methodology Support the scientific communication lifecyclefrom needs assessment through planning, writing, peer review, and submission/presentation. Develop and maintain internal reports and evidence dossiers that summarize the performance and safety of Hollisters products and technologies, incorporating relevant statistical findings and visualizations. Support experimental documentation and reporting in alignment with design control processes, including product testing and method validation summaries. Stakeholder Engagement Collaborate with Ostomy Technology Development teams to ensure that innovation outputs are captured and communicated effectively through internal knowledge-sharing platforms and external publications. Engage with Clinical Education and Marketing to translate technical content into formats that support customer education and training programs. Essential Functions of the Role**: Translate scientific information into technical content by working with cross-functional R&D teams to ensure alignment with Hollisters scientific messaging. Maintain collaborative relationships with subject matter experts to obtain, verify, and clarify technical information for scientific and educational deliverables. Interpret experimental and clinical data through collaboration with statisticians and technical experts to support accurate and meaningful communication. Create scientific publications and communication materials (e.g., slide decks, white papers, posters, abstracts) that clearly and accurately convey technical content for internal and external audiences. Analyze and synthesize data from literature, experimental, and clinical sources to support evidence-based messaging. Ensure quality and compliance of scientific materials through review and revision to meet regulatory, editorial, and scientific standards. Work Experience Requirements Minimum of 4 years of experience in technical/scientific writing, preferably within an R&D or clinical research function in the medical device, pharmaceutical, or healthcare industry. Experience interpreting scientific data and testing results, including familiarity with statistical tools (e.g., Minitab, JMP, Excel, or Python/R for data analysis). Education Requirements Advanced degree (MS/PhD preferred) in a scientific discipline such as biomedical engineering, life sciences, materials science, pharmacy, or related field. Specialized Skills/Technical Knowledge Solid understanding of experimental design, statistical analysis, and data visualization. Ability to translate lab testing and research findings into clear, accurate, and compliant scientific communication. Proficiency in analyzing raw data and summarizing results into scientifically valid conclusions. Soft Skills Strong written and verbal communication skills tailored to both technical and non-technical audiences. Effective stakeholder management and project coordination. Ability to work independently while engaging proactively with cross-functional teams. Local Specifications (English And Local Language) Excellent command of written and spoken English. Location - Gurugram Mode - Hybrid Show more Show less

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Overview: Responsible for leading data science initiatives, developing advanced analytics models and ensuring successful execution of data-driven projects for clients in the retail. Will work closely with key client stakeholders to understand their business challenges and leverage data science to deliver actionable insights that drive business growth and efficiency.Lead the design, development and implementation of advanced analytics models. Including predictive and prescriptive models for retail clients.Should be able to convert mathematical/ statistics-based research into sustainable data science solutionsCandidate should be able to think from first principles to define & evangelize solutions for any client business problemLeverage deep knowledge of the retail to develop data-driven solutions that address industry-specific challenges. Apply AI/ML statistical methods to solve complex business problems and determine new opportunities for clients.Ensure project delivery of high-quality, actionable insights that drive business decisions and outcomes.Ensure end-to-end lifecycle (scoping to Delivery) of data science projects.Collaborate with cross-functional teams to ensure seamless project execution.Manage timelines, resources, and deliverables to meet client expectations and project goals.Drive innovation by exploring new data science techniques, tools, and technologies that can enhance the value delivered to clients.Strong hands-on experience with data science tools and technologies (e.g., Python, R, SQL, machine learning frameworks).Hand-on experience with a range of data science models including regression, classification, clustering, decision tree, random forest, support vector machine, nave Bayes, GBM, XGBoost, multiple linear regression, logistic regression, and ARIMA/ARIMAX.Should be competent in Python (Pandas, NumPy, scikit-learn etc.), possess high levels of analytical skills and have experience in the creation and/or evaluation of predictive models.Preferred experience in areas such as time series analysis, market mix modelling, attribution modelling, churn modelling, market basket analysis, etcGood communication and project management skills. Should be able to communicate effectively to a wide range of audiences, both technical and business. Adept in creating Presentations, reports etc to present theanalysis findings to key client stakeholders. Strong team management skills with a passion for mentoring and developing talent. Qualifications BTech/Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1-2 institutions Or BE/B-Tech, MCA or MBA7-10 years of hands-on relevant experience in delivering Data Science/Analytics projects. Show more Show less

Synopsis of the role Understand clients business requirements in terms of analytical needs and be a part of a High-class delivery team to deliver unparalleled analytical solutions using best in class analytical techniques. What Youll Do Be the innovation champion in the organization and help us build new solutions leveraging Equifax data assets Ability to understand BFSI business problems and consult client on the appropriate solutions Provide thought leadership to projects and help develop unique solutions and deliver analytical outputs Contribute to building the BFSI Analytics practice through on- going identification of new opportunities Provide hands-on support to the project team in developing ML models Work with the Equifax bureau in India to build bureau-based Analytics capabilities and use the new age technology to implement those solutions Develop best practices and streamline the process in order to improve the efficiency of the team Manage a team of junior data scientists and help with building products leveraging AI/ML techniques What Experience You Need Understanding of key business and risk KPIs for retail banking products 5+ years experience in handling BFSI analytics/implementing models/Big data/Cloud solution architect Credit risk modeling development experience is a must. R/Python coding experience is a must have technical skill Regulatory modeling development experience is good to have (ECL, Stress testing & IFRS9) Highly analytical with experience of working in teams. Self-starter with high energy levels and ability to work in a fast-paced environment. In-depth business & risk understanding. Adaptability to work in project-based engagements across different kinds of banking clients. Team management experience would be preferred What Could Set You Apart Young, enthusiastic and highly collaborative teammates. Learn from and work with some of brightest minds in the banking lending, credit risk and marketing analytics space - both in India & International Fabulous opportunity to work with some of our largest blue-chip customers Chance to use cutting-edge statistical/modelling tools across literally hundreds of data assets Offices located in the center of Bangalore & Mumbai Opportunity to make an impact in the fastest growing Data & Tech bureau Equifax D&A University: skill lab, group & individual learning Show more Show less

The GTM Specialist Web Analytics Specialist role at Elephant in the Boardroom requires someone with strong analytical skills to manage tracking across websites and campaigns, handle client interactions, and support data-driven decisions. As a key member of the team, you will be responsible for implementing and managing Google Tag Manager (GTM), setting up tags, triggers, variables, and data layers, tracking user behavior and conversion funnels using GA4, collaborating with marketing and development teams, building dashboards with tools like Power BI, Looker Studio, and Tableau, and analyzing data using SQL, Excel, and Python/R. It is essential to ensure tracking accuracy and compliance with regulations such as GDPR and CCPA. The ideal candidate should have 3 to 4+ years of experience in analytics or tracking roles, be an expert in GTM and GA4, possess strong skills in Google Analytics, SQL, and BI tools, and be comfortable engaging in client-facing discussions. Additionally, clear communication and reporting skills are crucial for this role. It would be advantageous to have experience with CRMs like HubSpot, Zoho, or Salesforce, familiarity with server-side GTM, and a basic understanding of JavaScript or HTML. Elephant in the Boardroom offers a dynamic work environment with global project exposure, a collaborative team culture, and the opportunity to lead tracking strategy. If you are looking to grow your career in a fast-paced digital agency, this position could be the right fit for you. To apply for this role, please send your resume and cover letter to hrindia@elephantintheboardroom.co.in. This is a full-time position based in Chennai with benefits including Provident Fund.,

Bain & Company is a global consultancy that assists ambitious change makers worldwide in shaping the future. With a presence in 65 offices across 40 countries, we collaborate closely with our clients to achieve exceptional results, surpass competitors, and redefine industries. Since our establishment in 1973, we have gauged our triumph by the success of our clients and proudly uphold the highest level of client advocacy in the industry. In 2004, we forayed into the Indian market by inaugurating the Bain Capability Center (BCC) in New Delhi. The BCC, now recognized as BCN (Bain Capability Network), spans across various geographies and stands as a pivotal unit of Expert Client Delivery (ECD). ECD assumes a crucial role by enhancing Bain's case teams globally through analytics, research support, and solutioning across diverse industries, domains, and Bain intellectual property. BCN encompasses Consulting Services, Knowledge Services, and Shared Services. As part of the Consumer Products Center of Expertise, you will collaborate with Bains global Consumer Products Practice leadership, client-facing Bain leadership, and teams, along with end clients to develop and deliver Bains proprietary CP products and solutions. These solutions aim to address strategic queries of Bains CP clients concerning brand strategy, revenue growth management, negotiation strategy with key retailers, and optimization of COGS. In your role, you will own a complex workstream or mid-complex cases with support from supervisors. You will assist BCN case leads in problem-solving, hypothesis generation, research, and insight generation, and quality control. Additionally, you will interpret, understand, and breakdown case requirements into actionable task items for the team. You will lead focused meetings, deliver business insights effectively to project leadership, and produce high-quality outputs for internal and external stakeholders in a timely manner. Moreover, you will be adept at deriving actionable insights from extensive quantitative and qualitative data/research and gaining proficiency in industry data sources, KPIs, analytical tools, and consulting solutions relevant to CP industry clients. Candidates for this role should be part of the undergraduate 2025 batch with a strong academic background. Relevant experience in management consulting and data analytics related to market/business/consumer insights, preferably in a global MNC environment within Consumer Products/Retail industry domains is preferred. Strong communication skills, familiarity with analytical tools such as Alteryx, Tableau, Power BI, and a good grasp of Microsoft Excel and PowerPoint are necessary. Understanding of Python, R, SPSS is a plus. At Bain & Company, we are committed to fostering diversity, inclusion, and collaboration to build extraordinary teams. Recognized as one of the world's best places to work, we provide a conducive environment where individuals can realize their potential and thrive both professionally and personally. Our dedication to diversity and inclusion has been acknowledged by various external parties, cementing our reputation as an exceptional workplace for all.,

Work Your Magic with us! Ready to explore, break barriers, and discover more We know youve got big plans so do we! Our colleagues across the globe love innovating with science and technology to enrich peoples lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That&aposs why we are always looking for curious minds that see themselves imagining the unimaginable with us. United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe. PURPOSE OF THE ROLE The Associate Scientific Director, Translational Quantitative Pharmacology (TQP) position in Quantitative Pharmacology (QP) within the broader Clinical Measurement Sciences (CMS) organization is a scientific and cross-functional role, responsible for developing and executing Model Informed Drug Development (MIDD) strategies across the R&D lifecycle. This position will be responsible for all TQP assignments either executed internally or in collaboration with external TQP related CROs by providing close scientific and technical supervision. The incumbent will be expected to manage multiple projects simultaneously and participate in discussions and presentations. The role requires the candidate toalso communicate TQP related science and strategies to all interfacing disciplines at the project or non-project levelsand help develop modeling toolboxes to assist project teams in making quantitatively-driven decisions. Specific Job Description KEY ACCOUNTABILITIES To be an independent contributor in the field of translational quantitative pharmacology to help advance the fundamental science of the field, to help guide, educate, mentor and contribute to the success of the discipline within the company. To be able to independently develop quantitative mechanism-based PK/PD models that will inform compound progression decisions from lead optimization to clinical proof of concept and beyond for the immunology and oncology pipelines for all modalities of interest. The incumbent will have responsibilities for performing human PK predictions and quantitative DDI predictions, the design and analysis of pre-clinical PK/PD experiments and data to support preclinical development, and translational PK/PD analyses to support FIM dose estimates for all modalities of interest. The incumbent will work to develop models or use commercially available software tools to understand and quantify toxicological signals such as cardiovascular, hepatic, renal, dermal etc to determine the therapeutic index and help guide project decisions To be able to interact with various project team members in a clear and timely manner, understanding the functions of other team members and being able to explain and educate model-based analyses and results to team members from various backgrounds The incumbent candidate will work in a dynamic team with frequent interactions, both within the team and with associated functions, and will be responsible for the development and implementation of innovative modeling and simulation platforms/strategy that ensure that the right drug is administered to the right patient at the right dosage. As a member of project teams and sub-teams, the incumbent will represent QP and present analysis outcomes to cross-functional teams, at department meetings, project review committees and conferences. The candidate will contribute to the preparation and presentation of both internal and external documentation (e.g. Investigators Brochure, IND, CTD) and program strategy. STRATEGIC IMPACT Provide technical expertise to promote and deliver on MIDD strategy of the QP organization COOPERATION Interfaces With Other Departments/Functions Oncology and Neurology & Immunology Research Units Clinical Pharmacology (CP) Biostatistics Safety Sciences (Toxicology) DMPK Biomarkers Pharmacometrics Data Sciences Project Teams External Interfaces Represent company/ organization in consortia (e.g. IQ working groups) and academic research partnerships. Represent function and department in interactions with contractors Present and publish work in relevant journals and MIDD related conferences. CANDIDATES PROFILE Qualifications, Experience, Knowledge & Competencies EDUCATION/LANGUAGES A minimum of 5 years in industry and/or academia in a relevant background A PhD in Pharmacokinetics, Pharmaceutical Sciences, Biomedical/Chemical Engineering, Applied Mathematics, or a related discipline with a proven track record of applying modeling and simulation approaches to biological problems Fluency in English. Professional Skills & Experience Sound knowledge of the theory and principles of Quantitative Systems Pharmacology plus hands-on competence in mathematical modeling of pharmacologic effects with mechanism-based models using relevant software or programming languages (e.g., MATLAB/SimBiology, NONMEM, R, Monolix). Experience in applying translational PK/PD M&S including QSP approaches in research and early clinical development to inform confidence in target/ mechanism, dose/ regimen, and combinations. Knowledge of basic principles of biology and pharmacology at the organismal, cellular and molecular level, preferably in one or more of the following areas: oncology, immuno-oncology, immunology Ability to rapidly assimilate knowledge of complex biology of drug action for novel mechanisms and transform such understanding into multi-scale mathematical models, with requisite mathematical and computational proficiency Experience in applying PBPK modeling and simulation using relevant software (e.g., MATLAB, Simcyp, GastroPlus) is desirable. Experience with toxicological predictions using tools such as DILI Sym/RenaSym for hepatic and renal toxicity respectively is highly desirable Ability to mentor, educate and explain modeling concepts and approaches to colleagues within QP/CMS and the larger organization as well Flexibility and keen pursuit of innovation throughout all phases of the drug discovery and development process A desire to develop and grow by way of taking responsibility and engaging in additional tasks and operations. Ability to work independently and deliver results in a timely manner Publications in conference proceedings and peer-reviewed journals is desirable Excellent communication skills with the ability to translate and summarize outcomes of modeling and simulation analysis as relevant for research and development projects What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress! Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity! Show more Show less

Must be able to drive different analytics initiatives in close collaboration with the business leaders Must be able to develop mathematical / analytical models for resolving complex business problems Should be fully adept on process mapping and lead six sigma tools to provide the process realignment support prior to analytics solutioning Must be able to create dashboards / applications using Power Apps, SSIS, Power BI, Alteryx, MS-Access and advanced excel Must be able to design & develop custom report and provide inferential analysis Must have working knowledge on Azure data engineering tools e.g. Databricks, Azure data factory, Synapse Analytics, Logic Apps etc. Must have a good understanding on supply chain basics and provide support in solutioning for a given supply chain problem statement Should be able to pick up new tools and technologies e.g. Python, ML, Azure data factories etc. Exposure of Azure Dev Ops/JIRA for Agile project management Must be fully qualified and have delivered analytical solutions using Business Intelligence (BI) tools, R, Python, SQL Coding, Java Coding, data crunching, advanced excel modeling, VBA coding & macro writing What you will need: Build new tools in close collaboration with the business SMEs and ensure a successful deployment Project/Program management of analytics projects with ADO Lead and Own an Analytics area and ensure product adoption for the respective area Must be able to identify key business metrics (Financial & Operational) and populate them on regular basis Must be able to communicate with different stakeholders at various levels within Stryker for collating the monthly KPI reporting data Should be able to deliver the analytics trainings across organization on different tools like powerBI, excel, MS Access etc. to steer an analytics driven culture

This role will lead development of analytics capabilities for the pharma pipeline in the assigned therapeutic areas, which may include infectious diseases, neurosciences, cardiovascular and/or ophthalmology disease areas. In addition, this role will also be responsible for embedding enterprise go to market strategy in early commercial strategy - for beyond G7 investments. The successful candidate will partner closely across the Human Health Digital Data and Analytics capability functions like market research, forecasting, payer insights & analytics and data strategy & solutions. Primary Responsibilities: Global Commercial pipeline Analytics: Develop commercial insights solutions, business cases and market evaluation to support decision making for the pharma pipeline and business development, utilizing deep data driven analytics. Stakeholder Collaboration: Partner with global marketing teams, operations and clinical to inform strategic reviews and increase commercial rigor through all phases of pipeline asset development. Communication and Transparency: Provide global marketing teams, and governance committees, transparency, and commercial insights on pipeline portfolio on topics related to market dynamics, competitive insights, patient journeys, access considerations amongst others. Analytics and Benchmarking: Lead benchmarking analytics to collect, analyze, and translate insights into recommended business actions to inform pipeline development choices. Provide critical insights to leaders for communication on human health portfolio, early pipeline commercial forecasts and related business drivers. Required Experience and Skills: Bachelors degree, preferably in a scientific, engineering, or business-related field. Minimum of 4+ years experience working with Life Sciences companies with 3+ years of experience in marketing, clinical development, advanced analytics, asset portfolio management, strategic planning, insights syndication or related roles within the pharmaceutical or biotechnology industry Strategic thinker who can be consultative and engage as equals. Strong communication skills using effective story-telling grounded on data insights. Ability to execute solution approaches complex and ambiguous business problems. Understanding of Real-world data assets and commercial pharma data ecosystem Strong communication and presentation skills, with the ability to effectively communicate complex concepts to both internal and external stakeholders. Relationship-building and influencing skills with an ability to collaborate cross-functionally. Preferred Experience and Skills: Experience in healthcare data, insights, and analytics Experience in Life Science or consulting industry Advanced degree (eg, MBA, PharmD, PhD) preferred. Therapeutic area experience in cardiovascular & metabolic diseases preferred. Global experience preferred.

This role involves working with our partners in different Therapeutic areas (eg Oncology, Vaccines, Pharma & Rare Disease, etc) and Domain areas (HCP Analytics, Patient Analytics, Segmentation & targeting, Market Access, etc) across the organization to help create scalable and production-grade analytics solutions, ranging from data visualization and reporting to advanced statistical and AI/ML models. You will work in one of the three therapeutic areas of Brand Strategy and Performance Analytics - Oncology/Vaccines/Pharma & Rare Disease, where you will play a pivotal role in leveraging your statistical and machine learning expertise to address critical business challenges and derive insights to drive key decisions. Working alongside experienced data scientists and business analysts, you will have the opportunity to collaborate in translating business queries into analytical problems, employing your critical thinking, problem-solving, statistical, machine learning, and data visualization skills to deliver impactful solutions. We are seeking candidates with prior experience in the healthcare analytics or consulting sectors, prior hands-on experience in Data Science (building end-to-end ML models). It is preferred that you have a good understanding of Physician and Patient-level data (PLD) from leading vendors such as IQVIA, Komodo, and Optum. Familiarity with HCP Analytics, PLD analytics, concepts like persistence, compliance, line of therapy, etc, or Segmentation & Targeting is highly desirable. You will be part of a dynamic team that collaborates with our partners across therapeutic areas. Furthermore, effective communication skills are crucial, as this role requires interfacing with executive and business stakeholders. Who you are: You understand the foundations of statistics and machine learning and can work in high performance computing/cloud environments, with experience/knowledge in aspects across statistical analysis, machine learning, model development, data engineering, data visualization, and data interpretation You are self-motivated, and have demonstrated abilities to think independently as a data scientist You structure your data science approach according to the necessary task, while appropriately applying the correct level of model complexity to the problem at hand You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks Key responsibilities: Lead a team of Analysts - Data Science to solve complex business problems. Lead the team in understanding the business requirements and translating them into analytical problem statements. Define technical requirements (datasets, business rules, technical architecture), provide technical direction to the team and manage end-to-end projects Collaborate with cross-functional teams to design and implement solutions that meet business requirements Present the findings to senior business stakeholders in a clear and concise manner Manage and mentor junior data scientists through technical and professional guidance, trainings etc Develop deep expertise in the therapeutic area of interest, contribute to thought leadership in the domain through publications and conference presentations. Minimum Qualifications: Bachelor s degree with 5-7 years industry experience Proficiency in Python/R & SQL Experience in healthcare analytics or consulting sectors Experience working with real world evidence (RWE) and patient level data (PLD) from leading vendors such as IQVIA, Komodo, Optum etc Experience in HCP Analytics, Segmentation and Targeting and Patient Level Data analytics (eg, creating Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc) Experience in leading small sized teams Strong Python/R, SQL, Excel skills Strong foundations of statistics and machine learning Preferred Qualifications: Advanced degree in STEM (MS, MBA, PhD) 5-7 years in Healthcare Analytics and Consulting Experience in Oncology/Vaccine/Pharma & Rare Diseases therapeutic area commercial analytics Knowledge of statistics, data science and machine learning & commercial Experience of supporting End to End Project Management Required Skills: Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model

Designs machine learning systems and software to automate predictive model Transforms data science prototypes and applying appropriate ML algorithms and tools Develops ML algorithms to analyze large volumes of historical data to make predictions Establishes and manages the close relationship with customers/stakeholders Selects analytical techniques and model methods best to solve business problems Ensures best practices sharing and cross the organization Enables delivery of data-analytics and data science projects. Have deep knowledge of the companys supported technology; understand the whole complexity/dependencies between multiple teams, platforms (people, technologies) Communicates intensively with other platform/competencies to comprehend new trends and methodologies being implemented/considered within the company ecosystem Understands the customer/stakeholders business needs/priorities and helps building solutions that support our business goals Participates in community of practice leveraging experience from delivering complex analytics projects Skills Machine Learning Generative AI NLP Prompt Engineering Software Development Testing Software Development Lifecycle (SDLC) Design Applications AWS / GCP / Azure Data Engineering Specializations AI/ML (Machine Learning, Data Engineering, Data Science) Gen AI Minimum Qualifications: Bachelors degree with5-7years industry experience ProficiencyinPython/R& SQL Experience in healthcare analytics or consulting sectors Experience working with real world evidence (RWE) and patient level data (PLD) from leading vendors such as IQVIA, Komodo, Optum etc Experience inHCP Analytics,Segmentation and TargetingandPatient Level Data analytics (eg, creating Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc) Experience in leading small sized teams Strong Python/R, SQL, Excel skills Strong foundations of statistics and machine learning Preferred Qualifications: Advanced degree inSTEM(MS, MBA, PhD) Experience in Oncology/Vaccine/Pharma & Rare Diseasestherapeutic area commercial analytics Knowledge of statistics, data science and machine learning& commercial pharma Experience of supportingEnd to End Project Management Required Skills: Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model

Associate Specialist will also be responsible to support concrete recommendations and communicate on-going risk/benefit against standardized commercial metrics. Reporting to the Associate Director of Pharma Global Commercial Pipeline Analytics within HHDDA, this role will lead development of analytics capabilities for the pharma pipeline in the assigned therapeutic areas, which may include infectious diseases/HIV, immunology, cardiovascular and/or ophthalmology disease areas. In addition, this role will also be responsible for embedding enterprise go to market strategy in early commercial strategy - for beyond G7 investments. The successful candidate will partner closely across HHDDA capability functions like market research, forecasting, payer insights & analytics and data strategy & solutions. Primary Responsibilities: Global Commercial pipeline Analytics: Develop commercial insights solutions, business cases and market evaluation to support decision making for the pharma pipeline and business development, utilizing deep data driven analytics. Stakeholder Collaboration: Partner with global marketing teams, operations and clinical to inform strategic reviews and increase commercial rigor through all phases of pipeline asset development. Communication and Transparency: Provide global marketing teams, and governance committees, transparency, and commercial insights on pipeline portfolio on topics related to market dynamics, competitive insights, patient journeys, access considerations amongst others. Analytics and Benchmarking: Lead benchmarking analytics to collect, analyze, and translate insights into recommended business actions to inform pipeline development choices. Provide critical insights to leaders for communication on human health portfolio, early pipeline commercial forecasts and related business drivers. Analytics Delivery: Hands on analytics project delivery with expertise in data manipulation, analysis, and visualization using tools such as Excel-VBA, SQL, R, Python, PowerBI, ThoughtSpot or similar technologies and capabilities. Ability to leverage a variety of patient modeling techniques including statistical, patient-flow, and simulations-based techniques for insight generation. Required Experience and Skills: Bachelors degree, preferably in a scientific, engineering, or business-related field. 3+ years of overall experience and 2+ years of relevant experience in marketing, clinical development, commercial/advanced analytics, asset portfolio management, strategic planning, insights syndication or related roles within the pharmaceutical or biotechnology industry Strong problem-solving abilities, to find and execute solutions to complex or ambiguous business problems. Experience conducting secondary data analytics on large datasets using relevant skills e.g., excel VBA, Python, SQL Deep understanding and hands on exposure in pharma commercial data ecosystem e.g., Epidemiology datasets, biomarker data, commercialization and real-world datasets Experience in envisioning, architecting and developing data driven tools/dashboards using visualization tools (e.g. PowerBI) Exposure in building patient analytics and patient journey from commercial and real-world datasets (like e-LAAD, Symphony, Optum, MarketScan etc.) Strategic thinker who can be consultative and engage as equals. Strong communication skills using effective story-telling grounded on data insights. Ability to execute solution approaches complex and ambiguous business problems. Strong communication and presentation skills, with the ability to effectively communicate complex concepts to both internal and external stakeholders. Relationship-building and influencing skills with an ability to collaborate cross-functionally. Preferred Experience and Skills: Experience in healthcare data, insights, and analytics Experience in Life Science or consulting industry Advanced degree (e.g., MBA, PharmD, PhD) preferred. Therapeutic area experience in infectious diseases/HIV, immunology, cardio-metabolic and/or ophthalmology diseases preferred. Global experience preferred.

Experience 8+ years of experience in software development 5+ years of experience in AI/ML implementation Proven track record of successful AI solution delivery Experience with cloud platforms (AWS, Azure, or GCP) Technical Skills Strong programming skills (Python, R, Java) Deep understanding of ML frameworks (TensorFlow, PyTorch) Knowledge of data structures and algorithms Experience with big data technologies Familiarity with DevOps and MLOps practices

As a Data Visualization Engineer at Zoetis, Inc., you will be an integral part of the pharmaceutical R&D team, contributing to the development and implementation of cutting-edge visualizations that drive decision-making in drug discovery, development, and clinical research. You will collaborate closely with scientists, analysts, and other stakeholders to transform complex datasets into impactful visual narratives that provide key insights and support strategic initiatives. Your responsibilities will include designing and developing a variety of visualizations, ranging from interactive dashboards to static reports, to summarize key insights from high-throughput screening, clinical trial data, and other R&D datasets. You will work on implementing visual representations for pathway analysis, pharmacokinetics, omics data, and time-series trends, utilizing advanced visualization techniques and tools to create compelling visuals tailored to technical and non-technical audiences. Collaboration with cross-functional teams will be a key aspect of your role, as you partner with data scientists, bioinformaticians, pharmacologists, and clinical researchers to identify visualization needs and translate scientific data into actionable insights. Additionally, you will be responsible for maintaining and optimizing visualization tools, building reusable components, and evaluating emerging technologies to support large-scale data analysis. Staying updated on the latest trends in visualization technology and methods relevant to pharmaceutical research will be essential, as you apply advanced techniques such as 3D molecular visualization, network graphs, and predictive modeling visuals. You will also collaborate across the full spectrum of R&D functions, aligning technology solutions with the diverse needs of scientific disciplines and development pipelines. In terms of qualifications, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, Bioinformatics, or a related field. Experience in the pharmaceutical or biotech sectors is considered a strong advantage. Proficiency in visualization tools such as Tableau, Power BI, and programming languages like Python, R, or JavaScript is required. Familiarity with data handling tools, omics and network tools, as well as dashboarding and 3D visualization tools, will also be beneficial. Soft skills such as strong storytelling ability, effective communication, collaboration with interdisciplinary teams, and analytical thinking are crucial for success in this role. Travel requirements for this position are minimal, ranging from 0-10%. Join us at Zoetis India Capability Center (ZICC) in Hyderabad, and be part of our journey to pioneer innovation and drive the future of animal healthcare.,

GlobalLogic is looking for a proactive and analytical Business Intelligence Analyst to join their team. As a Business Intelligence Analyst, you will be responsible for independently building, maintaining, and enhancing real-time data visualizations that meet the evolving business needs. Your role will involve empowering teams with data-driven insights through the creation of dashboards and reports using tools such as Tableau, Power BI, and Looker Studio. Key responsibilities of this role include analyzing large datasets from various business systems to extract actionable insights, designing and developing dynamic dashboards and visualizations, conducting ad-hoc analyses to support strategic business initiatives, collaborating with data engineers to integrate data from different systems, ensuring data quality and security, and presenting findings to stakeholders, including senior leadership, to drive performance improvements. Additionally, the ideal candidate should have at least 3 years of experience with Python, R, or other scripting languages for data analysis, as well as experience with Power BI or Tableau. Exposure to machine learning or predictive analytics is a bonus, along with familiarity with Agile project management methodologies. The candidate must have a graduation degree and be willing to work from the office in APAC shift timings. GlobalLogic offers a culture of caring, learning, and development, interesting and meaningful work, balance, flexibility, and is known for being a high-trust organization that values integrity. As part of the team, you will have the opportunity to work on impactful projects, grow personally and professionally, and collaborate with clients around the world. Join GlobalLogic, a Hitachi Group Company, and be part of a trusted digital engineering partner that is at the forefront of the digital revolution, creating innovative digital products and experiences. Transform businesses, redefine industries, and work on cutting-edge solutions that shape the world today.,

A Data Analyst is expected to have at least 5 years of experience in collection, processing, and performing statistical analysis on large datasets to uncover insights, trends, and patterns that inform business decisions. You will work with cross-functional teams to translate data into actionable strategies. Domain expertise in industries such as fintech, edtech/skilling, health-tech, or e-commerce is advantageous. Your main responsibilities will include gathering data from primary or secondary sources, cleaning and validating data to ensure accuracy, completeness, and consistency. You will use statistical tools like Excel, SQL, R, and Python to interpret data sets, identify trends, patterns, correlations, and outliers. Additionally, you will create dashboards and visualizations using tools like Power BI, Tableau, or Excel, and develop reports to present data-driven insights to stakeholders. Collaborating with business teams to understand their data needs and recommending strategies to optimize business performance based on analysis is also crucial. Moreover, you will maintain databases and data systems, ensuring data integrity, security, and compliance. Identifying opportunities to automate repetitive data tasks and staying updated with industry trends, tools, and best practices for continuous improvement is essential. Required skills for this role include proficiency in Excel, SQL, and at least one of Python/R, experience with data visualization tools like Tableau, Power BI, or Looker, strong analytical and problem-solving skills, ability to communicate complex results to non-technical stakeholders, and understanding of statistics and data modeling. The educational qualification required for this position is a Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field. Advanced degrees or certifications in Data Analytics/Science are considered a plus.,

As a Technical Solutions Consultant, you will have the opportunity to share your preferred working location from the available options in Gurugram, Haryana, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India. To be considered for this role, you are required to have a Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. Additionally, experience in system design, reading code (e.g., Java, C++, Python, etc.), technical project management, stakeholder management, professional services, solution engineering, or technical consulting is essential. Proficiency in SQL, building dashboards, data collection/transformation, visualization/dashboards, or a scripting/programming language (e.g., Python) is also necessary. Preferred qualifications for this role include experience in a client-facing data analytics position or presenting data-based narratives to senior stakeholders and partners. Familiarity with analytical and narrative tools such as spreadsheets, presentation software, tableau, data studio, etc., as well as working with Google's tools and datasets, is advantageous. Knowledge of R, Python, database management systems, and SQL Workflow management is a plus. The ideal candidate should possess the ability to multitask, manage conflicting priorities effectively, and demonstrate a willingness to learn and implement advanced technical and analytical solutions. A strong motivation to understand customer business objectives and recommend insights based on market and customer data is highly valued. In this role, you will be responsible for the technical relationship with Google's largest advertising clients and product partners. You will collaborate with cross-functional teams in Engineering, Sales, and Product Management to leverage emerging technologies for external clients and partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and product partnerships. Balancing business and partner needs with technical constraints, you will develop innovative solutions and act as a consultant to those you work with. Additionally, you will build tools, automate products, oversee technical execution and business operations, develop product strategy, and prioritize projects and resources. As part of the gTech team, your role will involve working with Sales teams, partners, and Engagement Managers to develop compelling, integrated, research-based insights and narratives that enhance Google's ability to sell relevant media solutions to clients. You will analyze complex datasets, convert them into strategic insights and compelling storylines, and utilize insight and measurement tools to drive customer business objectives. Your responsibilities will include making complex data sets and concepts simple and easy to understand, as well as developing and maintaining robust analytical solutions that can be leveraged across different verticals and markets. If you are looking to contribute to creating products and services that make a positive impact on the world, this position offers a unique opportunity to collaborate with diverse teams and support customers globally. Whether it's providing bespoke solutions to solve unique problems or developing tools that can scale across Google, your work will aim to ensure that customers benefit from the full potential of Google products.,

You are a highly experienced FinTech Academic Expert, sought to join our team full-time. As a domain expert with profound knowledge in fintech, excellent communication skills, and a dedication to training, content development, and thought leadership, you will play a crucial role in connecting fintech product expertise with educational innovation. Your responsibilities include designing and producing top-notch educational materials, case studies, and technical guides within the fintech domain. Your role will also involve staying updated on global fintech trends and incorporating these insights into learning content and internal training sessions. You will conduct sessions for employees, partners, or students to enhance their comprehension of fintech tools and technologies. Additionally, you will provide domain-specific knowledge to support fintech product design, testing, and rollout with a focus on user understanding. In terms of skills and tools, you must be proficient in Advanced Excel, Prompt Engineering, Agentic AI frameworks, MCP (Model Context Protocol), and have coding experience in Java, Python, or R. It would be advantageous to have experience with tools such as Bloomberg Terminal for Financial Markets, Ethereum/Blockchain development, TensorFlow, or other AI/ML toolkits, as well as familiarity with Agile and Kanban methodologies. Your other skills should include strong verbal and written communication, the ability to simplify complex concepts into easily understandable learning modules, a passion for education, innovation, and industry transformation. To be considered for this role, you should have a minimum of 5+ years of industry experience in fintech, financial services, or banking. Prior experience in teaching, mentoring, or training is highly desirable, and product development or product management experience in a fintech environment is a significant advantage.,

As an Individual Contributor at Adobe, your primary responsibility will be to prioritize and lead deep dives into Adobe Creative Cloud data in order to uncover new product and business opportunities. This will involve utilizing machine learning techniques to reveal insights that can drive strategic decision-making. You will collaborate with product development teams and leadership to formulate business strategies and product roadmaps based on your analytical findings. Designing, implementing, and analyzing A/B experiments to provide impactful insights will be a key aspect of your role. Additionally, you will be instrumental in inspiring the data science and product teams to leverage experimentation and product insights effectively. Working closely with development teams on product instrumentation, product flow, and data capture will also be part of your responsibilities. To excel in this role, you should possess expertise in SQL and proficiency in at least one data science tool such as Python or R. Advanced skills in data visualization tools like Power BI, Tableau, or Looker will be essential. Experience in using machine learning models to extract insights and influence product strategy is highly desirable. With a minimum of 4 years of hands-on technical experience in a data analytics or data science role, including at least 2 years in behavioral data science for multi-platform SaaS products, you will have a strong foundation for success. Your ability to explore large datasets, derive meaningful insights, and translate them into tangible results will be critical. Creative thinking, problem-solving skills, and a knack for effective communication of insights to product and business leaders will set you apart. Ideally, you should hold a degree in a quantitative field such as statistics, economics, applied mathematics, operations research, or engineering, or possess equivalent work experience. Within Adobe, opportunities for creativity, curiosity, and continuous learning abound as key components of your career growth journey. Embracing new challenges and seizing internal opportunities will be encouraged and supported. To kickstart your journey: 1. Update your Resume/CV and Workday profile with your Adobe experiences and volunteer work. 2. Explore the Internal Mobility page on Inside Adobe, set up job alerts for roles of interest, and familiarize yourself with the process. 3. Review interview preparation tips to enhance your readiness for upcoming opportunities. Upon applying for a role via Workday, the Talent Team will contact you within 2 weeks. If you progress to the official interview stage with the hiring team, it is advisable to inform your manager to facilitate your career advancement. At Adobe, you will thrive in an exceptional work environment recognized globally. Our unique Check-In approach fosters continual feedback and growth, reinforcing a collaborative culture. If you seek to make a meaningful impact, Adobe is the ideal place for your professional journey. Explore firsthand insights from our employees on the Adobe Life blog and discover the valuable benefits we offer to support your growth. For individuals with disabilities or special needs requiring accommodations during the application process, please reach out to accommodations@adobe.com for assistance.,