37 Advanced Statistical Jobs

As a key member of our Data Science team, you will be responsible for developing innovative AI ML solutions across diverse business domains This includes designing, implementing, and optimizing advanced analytics models to address complex business challenges and drive data-driven decision making Your core responsibility will be to extract actionable insights from large datasets, develop predictive algorithms, and create robust machine learning pipelines You will collaborate closely with cross-functional teams including business analysts, software engineers, and product managers to understand business requirements, define problem statements, and deliver scalable solutions Additionally, you'll be expected to stay current with emerging technologies and methodologies in the AI/ML landscape to ensure our technical approaches remain cutting-edge and effective Desired Skills and experience Demonstrated expertise in applying advanced statistical modeling, machine learning algorithms, and deep learning techniques. Proficiency in programming languages such as Python data analysis and model development. Proficiency in cloud platforms, such as Azure, Azure Data Factory, Snowflake, Databricks. Experience with data manipulation, cleaning, and preprocessing using pandas, NumPy, or equivalent libraries. Strong knowledge of SQL and experience working with various database systems and big data technologies. Proven track record of developing and deploying machine learning models in production environments. Experience with version control systems (e.g., Git) and collaborative development practices. Proficiency with visualization tools and libraries such as Matplotlib, Seaborn, Tableau, or PowerBI. Strong mathematics background including statistics, probability, linear algebra, and calculus. Excellent communication skills with ability to translate technical concepts to non-technical stakeholders. Experience working in cross-functional teams and managing projects through the full data science lifecycle. Knowledge of ethical considerations in AI development including bias detection and mitigation techniques. Key Responsibilities Analyze complex datasets to extract meaningful insights and patterns using statistical methods and machine learning techniques. Design, develop and implement advanced machine learning models and algorithms to solve business problems and drive data-driven decision making. Perform feature engineering, model selection, and hyperparameter tuning to optimize model performance and accuracy. Create and maintain data processing pipelines for efficient data collection, cleaning, transformation, and integration. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Evaluate model performance using appropriate metrics and validation techniques to ensure reliability and robustness. Present findings, visualizations, and recommendations to stakeholders in clear, accessible formats tailored to technical and non-technical audiences. Stay current with the latest advancements in machine learning, deep learning, and statistical methods through continuous learning and research. Develop proof-of-concept applications to demonstrate the value and feasibility of data science solutions. Implement A/B testing and experimental design methodologies to validate hypotheses and measure the impact of implemented solutions. Document methodologies, procedures, and results thoroughly to ensure reproducibility and knowledge transfer within the organization.

Identify Business Requirements for Absence Management and/or Time Tracking work stream and align them to Workday, driving towards decisions and recommending best practices in all phases of the Project. Use consulting skills, business knowledge, and packaged solution expertise to effectively implement the functionality into the client's business environment in order to achieve client expected business results. Conduct working sessions with clients to gather, understand, analyze and translate business requirements to Workday system Assist clients in integrating the Workday system into their current business environments Advise clients on industry standards for Absence and Time Tracking process areas in order to provide suggestions, drive decision and recommend best practices in all phases of the project Assist client in the resolution of Absence and Time Tracking related issues Work with the client and data migration team to help convert legacy data into Workday Support project team for successful delivery of the client’s business requirements through all phases of the implementation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Workday HCM certification and also certified in Absence Management and/or Time Tracking Consulting Core. Competence and relevant experience in leading workshops for WD Absence Management and/or Time Tracking modules in at least 1 project. 2+year experience in end-to-end implementation of Absence Management and Time Tracking module for American, European and/or APAC customer businesses is preferred Preferred technical and professional experience Experience in supporting customer in their annual maintenance model. Proficiency in Core HCM and advanced reporting in WD Absence Desirable to have experience on WD UK or US and Canada Payroll. Strong analytical skills to interpret and eventually translate business requirements to system design. Excellent oral, written, and interpersonal skills with the ability to effectively manage customer expectations.

Company: Marsh Description: We are seeking a talented individual to join our Data Science team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Manager - Data Science (AI - CoE) This role at Knowledge Services aims to provide colleagues with an exposure towards key risks faced by businesses and utilize Artificial intelligence to manage, transfer or mitigate them. Incumbent is expected to be an expert of Generative AI (OpenAI APIs), Prompt Engineering, Data Science algorithms, Business Analytics and Data Manipulation. Incumbent will also have an opportunity to contribute to cutting edge analytics platform and products. Expertise in Python is a must. Experience with Insurance or Banking industry is a plus. This position is for an individual contributor in AI and Data Science, who will develop and implement leading-edge techniques in artificial intelligence, machine learning, predictive modeling, and natural language processing as applied in commercial insurance and risk management. This position consults with senior colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading AI-based tools. We will count on you to Understand and refine the Math and Statistics behind the complex AI models Build AI and machine learning algorithms based on the business ask Keep up pace with new trends in the AI world Mine and analyze data to drive optimization and implement business strategies Deploy APIs on the cloud platforms by understanding the technical ask Develop statistical custom data models and algorithms from scratch to enhance current value proposition and new product development What you need to have: Develops solutions based on Large Language Models, Advanced transformers, Advanced deep learning/Neural networks models Expertise in image based advanced models, Object detection, Video/Image processing, multimodal RAGs and other image and video models Develops and deploys API based business solutions on AWS platforms Coordinates with technology colleagues within and outside the team for support, manage, enhance and retrains deployed models Keeps pace with the fast-evolving world of AI, large language models and other type of AI solutions in the market and able to apply research level knowledge to benefit Marsh advisory businesses Designs, develops and contributes to Data architecture for complex enterprise level applications Deploys solutions on AWS cloud platforms Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds AI/ML models, and finalizes with results that unlock insight for clients/colleagues, deploy these solutions on web framework and enterprise wide platforms Demonstrates skill in advanced statistical analysis, data mining, and/or research techniques, combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with the Data Science team and across the wider organization Stays current with ongoing research in the field and brings new approaches to the team Coaches team members on the delivery of AI-based tools and analyses and presentation of findings Masters Degree in Engineering, Computer Science, Data Science or related field 7+ years of experience in the field of Data Science, AI research or similar fields Expert Data Scientist, including expertise with AI and machine learning model building Ability to influence others within and outside of the job function regarding approach and procedures Superior detail orientation, excellent communication and interpersonal skills Expertise of modern programming languages such as Python, including NumPy, Keras, TensorFlow, SQL, and PyTorch etc Familiar with Hugging face and is library of models What makes you stand out Building, training and deploying advanced models from the scratch to the production Business impact with AI models Understanding of insurance and risk management Knowledge and demonstrated experience of advance AI concepts like training language, voice, image or computer vision models Experience of building data visualization in Plotly/Dash/D3.js Hands on experience with stochastic or econometric modelling Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Responsibilities: Problem Definition & Hypothesis Generation: Work closely with business stakeholders, product managers, and engineers to understand key business challenges and formulate data-driven hypotheses. Data Collection & Preparation: Identify, collect, and prepare large, complex datasets from various sources. This includes data cleaning, transformation, feature engineering, and ensuring data quality and integrity. Exploratory Data Analysis (EDA): Perform in-depth statistical analysis and visualization to uncover trends, patterns, outliers, and relationships within data, generating actionable insights. Model Development & Evaluation: Design, develop, and implement machine learning models (e.g., supervised, unsupervised, reinforcement learning) for various applications such as prediction, classification, recommendation, anomaly detection, and natural language processing. Select appropriate algorithms, fine-tune model parameters, and perform rigorous model validation and evaluation (e.g., cross-validation, A/B testing). Monitor model performance post-deployment and iterate for continuous improvement. Statistical Analysis & Experimentation: Apply advanced statistical techniques to analyze experimental results, identify causal relationships, and provide recommendations based on data-driven evidence. Insight Generation & Communication: Translate complex analytical findings and model results into clear, concise, and actionable insights for non-technical audiences through presentations, reports, and dashboards. Deployment & MLOps: Collaborate with MLOps engineers and software developers to productionize models, ensure scalability, reliability, and maintainability. Research & Innovation: Stay updated with the latest advancements in data science, machine learning, and AI, and proactively identify opportunities to apply new techniques to solve business problems. Documentation: Document code, models, methodologies, and findings thoroughly for reproducibility and knowledge sharing.

As a Workday Consultant you will serve as a client-facing practitioner who leads and implements expert services utilizing the breadth of IBM's offerings and technologies. A successful Consultant is regarded by clients as a trusted business advisor who collaborates to provide innovative solutions used to solve the most challenging business problems. Candidates for this role should have proven delivery experience with Workday, including outstanding presentation, written and verbal communication skills. You will work developing solutions that excel at user experience, style, performance, reliability, and scalability to reduce costs and improve profit and shareholder value. Your primary responsibilities include: Build, automate and release solutions based on client’s priorities and requirements. Explore and discover risks and resolving issues that affect release scope, schedule and quality and bring to the table potential solutions. Make sure that all solutions meet the client specifications and are delivered on time. Lead testing support activities to ensure defects are resolved in satisfactory SLA’s Ensure all Delivery Assurance (DA) Checkpoints are compliant and completed on time Assist with Data Conversion & Reporting activities as needed Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Workday HCM certification and also certified in Reporting. Competence and relevant experience in leading workshops for WD Recruitment modules in at least 1 project. 2+year experience in end-to-end implementation of HCM Core and recruitment for American, European and/or APAC customer businesses is preferred 3 - 4 Years of Workday Experience & Knowledge on Advanced reporting, Prism. WQL. Experience in preparing materials and leading Delivery Assurance reviews Preferred technical and professional experience Proficiency in Core HCM and advanced reporting in Workday Strong analytical skills to interpret and eventually translate business requirements to system design Excellent oral, written, and interpersonal skills with the ability to effectively manage customer expectations manager and Recruiter should collaborate to create the relevant verbiage. Create up to 3 bullets max

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on Every Scientist on Targets Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Targets culture and apply retail domain knowledge. Position Overview: As a Senior Data Scientist, you will be involved in end-to-end development of Ad-Tech products and capabilities that fulfil strategic priorities and power growth of Roundel, Targets Retail media business. You will leverage understanding of data and algorithms to build prototypes and run experiments to evaluate them against given specifications. As you follow agile processes, you will implement and deploy a scalable data science solution by using MLOps best practices across model development life cycle. You will collaborate with product and business partners to seek feedback on effectiveness of solution and identify future opportunities for enhancements. You will work with your peers to create a well-maintainable & tested codebase with relevant documentation. The exciting part of retail and mediaIts always changing! Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About You: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience 3+ years of professional experience or equivalent industry experience Good knowledge and experience developing optimization, simulation and statistical models Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches, where required Strong hands-on programming skills in Python, SQL, Spark, Hadoop/Hive . Good working knowledge of mathematical and statistical concepts, MILP, algorithms and computational complexity Passion for solving interesting and relevant real-world problems using a data science approach Experience in implementing advanced statistical techniques like r egression, clustering, PCA, forecasting (time series) etc. Able to produce reasonable documents/narrative suggesting actionable insights Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs and narratives Self-driven and results oriented; able to meet tight timelines Strong team player with ability to collaborate effectively across geographies/time zones Know More here: Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Build, automate and release solutions based on clients priorities and requirements. Explore and discover risks and resolving issues that affect release scope, schedule and quality and bring to the table potential solutions. Make sure that all integration solutions meet the client specifications and are delivered on time Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Workday HCM certification and also certified in Recruiting. Competence and relevant experience in leading workshops for WD Recruitment modules in at least 1 project. 2+year experience in end-to-end implementation of HCM Core and recruitment for American, European and/or APAC customer businesses is preferred Identify Business Requirement for recruiting work stream and align them to Workday, driving towards decisions and recommending best practices in all phases of the Project. Advise clients on industry standards for Recruitment cycle process areas in order to provide suggestions, drive decision and recommend best practices in all phases of the project Preferred technical and professional experience Proficiency in Core HCM and advanced reporting in Workday Strong analytical skills to interpret and eventually translate business requirements to system design Excellent oral, written, and interpersonal skills with the ability to effectively manage customer expectations

Overview About Us We are an integral part of Annalect Global and Omnicom Group, one of the largest media and advertising agency holding companies in the world. Omnicom’s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services. Our agency brands are consistently recognized as being among the world’s creative best. Annalect India plays a key role for our group companies and global agencies by providing stellar products and services in areas of Creative Services, Technology, Marketing Science (data & analytics), Market Research, Business Support Services, Media Services, Consulting & Advisory Services. We are growing rapidly and looking for talented professionals like you to be part of this journey. Let us build this, together . Responsibilities Requirement gathering and evaluation of clients’ business situations in order to implement appropriate analytic solutions. Designs, generates and manages reporting frameworks that provide insight as to the performance of clients’ marketing activities across multiple channels. Be the single point of contact on anything data & analytics related to the project. QA process: Maintain, create and re-view QA plans for deliverables to align with the requirements, identify discrepancies if any and troubleshoot issues. Prioritize tasks and proactively manage workload to ensure timely delivery with high accuracy. Active contribution to project planning and scheduling. Create and maintain project specific documents such as process / quality / learning documents. Qualifications Our global marketing agency teams. You will also be closely collaborating with Manager and colleagues within the Data Operations & Reporting function. 6-9 years experience in data management and analytics in Marketing or relevant domains with strong problem-solving ability. 6-9 years experience producing deliverables with Python and/or SQL, ETL, Boolean scripts 6-9 years experience applying advanced statistical analysis and understanding marketing fundamentals to produce work deliverables 6-9 years experience explaining complex topics to a non-technical audience Knowledge in S3, Docker, AWS and SQL is desirable. Strong working knowledge of Excel is mandatory. Strong knowledge on media metrics, custom calculations, and metrics co-relation

Management Level: Ind&Func AI Decision Science Manager Location: Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods:SVM, Decision Trees, Programming Languages & Tools:Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP). Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Manager to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. This role will focus on Market Mix Modeling (MMM), where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. This role offers an exciting opportunity to collaborate with leading financial clients and leverage cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models, delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping, staffing, and execution phases. Practice Enablement Mentor and guide analysts, consultants, and managers to build their expertise in Market Mix Modeling and analytics. Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and the development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM, ensuring the development of high-quality client proposals and responses to RFPs. Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 5+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization, AI/ML models, and advanced statistical techniques for marketing. Proficiency in programming languages such as Python, NumPy, Pandas, Sklearn, Seaborne, Pycaret, and Matplotlib. Experience with cloud platforms such as AWS, Azure, or GCP and data migration to Snowflake. Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures. Additional Information Masters degree in Statistics, Econometrics, Economics, or related fields from reputed universities. Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights. About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: 5+ years of advanced experience in Market Mix Modeling (MMM) and related optimization techniques for promotional channels and budget allocation 2+ years for Analysts & 4+ years for Consultants of experience in consulting/analytics with reputed organizations Educational Qualification: Masters degree in Statistics, Econometrics, Economics, or related fields from reputed institutions Ph.D. or M.Tech in relevant fields is an advantage

As a Workday Consultant you will serve as a client-facing practitioner who leads and implements expert services utilizing the breadth of IBM's offerings and technologies. A successful Consultant is regarded by clients as a trusted business advisor who collaborates to provide innovative solutions used to solve the most challenging business problems. Candidates for this role should have proven delivery experience with Workday, including outstanding presentation, written and verbal communication skills. You will work developing solutions that excel at user experience, style, performance, reliability, and scalability to reduce costs and improve profit and shareholder value . Your primary responsibilities include: Build, automate and release solutions based on client’s priorities and requirements. Explore and discover risks and resolving issues that affect release scope, schedule and quality and bring to the table potential solutions Make sure that all solutions meet the client specifications and are delivered on time. Lead testing support activities to ensure defects are resolved in satisfactory SLA’s Ensure all Delivery Assurance (DA) Checkpoints are compliant and completed on time Assist with Data Conversion & Reporting activities as needed Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Workday HCM certification and also certified in Reporting. Competence and relevant experience in leading workshops for WD Recruitment modules in at least 1 project. 2+year experience in end-to-end implementation of HCM Core and recruitment for American, European and/or APAC customer businesses is preferred 3 - 4 Years of Workday Experience & Knowledge on Advanced reporting, Prism. WQL. Experience in preparing materials and leading Delivery Assurance reviews Preferred technical and professional experience Hiring Proficiency in Core HCM and advanced reporting in Workday Strong analytical skills to interpret and eventually translate business requirements to system design Excellent oral, written, and interpersonal skills with the ability to effectively manage customer expectations manager and Recruiter should collaborate to create the relevant verbiage. Create up to 3 bullets max

About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment's notice, and mastering consistency in an ever-changing world What We Offer: At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity We take pride in our inclusive environment and positive impact on the community Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs Join our team today and experience firsthand our dedication to supporting People First Lead Developer Workday Configurations Job Description The Lead Developer Workday configurations, will design, develop, test, and implement HR technology solutions in support of key business initiatives for the firm This is a hands-on, full SDLC role which provides opportunity to set direction for technical approaches, direct development staff in support of software engineering efforts, and tackle complex business, data, and technical challenges Partners with business stakeholders, architecture, and delivery team to determine the best technical solution to meet the business needs Translates the business requirements into technical designs, makes recommendations, makes long term strategic and short-term trade off decisions Performs hands on development of Workday configurations and new applications Designs and develops practical EIBs and abstractions Provides production support for existing configurations, investigates issues, recommends, and implements fixes Champions the collaborative resolution of defects Leads peer reviews, actively participates in providing feedback on optimizing other's configuration and identifies re-usable frameworks Creates software engineering strategies that help identify and mitigate risks Serves as the technical subject matter expert on complex initiatives Interfaces with other team members and other teams in peer review of requirements, specifications and designs of business processes Oversees the configuration development work of 3rd parties and consultants Coordinates configuration development and testing with 3rd party vendors and downstream consumers Mentors more junior developers Documents and communicates development status in a timely manner including metric reporting Assists with adherence to technology policies and comply with all security controls Required: BA/BS degree in Computer Science/Software Engineering 5+ years of hands on programming experience with Workday configuration tools (Studio, EIB) 5+ years of XML, XSLT, xPath experience 3+ years of advanced report building in Workday (Simple, Matrix, Composite, Advanced) 2 years of experience building BIRT reports using Workday Studio Experience with Prism data sources in Workday Experience building Workday Extend applications Strong communicator, experience communicating with stakeholders at all levels Experience in working on Agile teams, experience using agile tracking and process management tools (e g Jira, Rally) Flexible in his/her thinking, able to evolve a solution when additional information and ideas are presented Able to make technology decisions that are cognizant of the firm's broader technology and business strategy Recommended JavaScript, AWS, dev ops experience Demonstrated deep HR domain expertise (Benefits, Recruiting, Performance, Learning, Leave of Absence, Compensation, Payroll) Education/Experience Other Responsibilities Bachelor's degree in Computer Science, Information Systems or related discipline with at least seven (7) years of related experience, or equivalent training and/or work experience; Demonstrated technical expertise in Object Oriented and database technologies/concepts which resulted in deployment of enterprise quality solutions Past experience with developing enterprise quality solutions in an iterative or Agile environment Extensive knowledge of industry leading software engineering approaches including Test Automation, Build Automation and Configuration Management frameworks Strong written and verbal technical communication skills Demonstrated ability to develop effective working relationships that improved the quality of work products Should be well organized, thorough, and able to handle competing priorities Ability to maintain focus and develop proficiency in new skills rapidly Ability to work in a fast paced environment Work Location / Work Schedule / Travel: Any TaskUs IND Office Current WFH Setup Flexible day schedule How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application Kindly ensure that you are always in communication with only authorized recruiters of TaskUs DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life We welcome applicants of different backgrounds, demographics, and circumstances Inclusive and equitable practices are our responsibility as a business TaskUs is committed to providing equal access to opportunities If you need reasonable accommodations in any part of the hiring process, please let us know We invite you to explore all TaskUs career opportunities and apply through the provided URL https://www taskus com/careers/

As a Workday Consultant you will serve as a client-facing practitioner who leads and implements expert services utilizing the breadth of IBM's offerings and technologies. A successful Consultant is regarded by clients as a trusted business advisor who collaborates to provide innovative solutions used to solve the most challenging business problems. Candidates for this role should have proven delivery experience with Workday, including outstanding presentation, written and verbal communication skills. You will work developing solutions that excel at user experience, style, performance, reliability, and scalability to reduce costs and improve profit and shareholder value. Your primary responsibilities include: Build, automate and release solutions based on client’s priorities and requirements. Explore and discover risks and resolving issues that affect release scope, schedule and quality and bring to the table potential solutions Make sure that all solutions meet the client specifications and are delivered on time. Lead testing support activities to ensure defects are resolved in satisfactory SLA’s Ensure all Delivery Assurance (DA) Checkpoints are compliant and completed on time Assist with Data Conversion & Reporting activities as needed Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Workday HCM certification and also certified in Reporting. Competence and relevant experience in leading workshops for WD Recruitment modules in at least 1 project. 2+year experience in end-to-end implementation of HCM Core and recruitment for American, European and/or APAC customer businesses is preferred 3 - 4 Years of Workday Experience & Knowledge on Advanced reporting, Prism. WQL. Experience in preparing materials and leading Delivery Assurance reviews Preferred technical and professional experience Hiring Proficiency in Core HCM and advanced reporting in Workday Strong analytical skills to interpret and eventually translate business requirements to system design Excellent oral, written, and interpersonal skills with the ability to effectively manage customer expectations manager and Recruiter should collaborate to create the relevant verbiage.

As a Workday Consultant you will serve as a client-facing practitioner who leads and implements expert services utilizing the breadth of IBM's offerings and technologies. A successful Consultant is regarded by clients as a trusted business advisor who collaborates to provide innovative solutions used to solve the most challenging business problems. Candidates for this role should have proven delivery experience with Workday, including outstanding presentation, written and verbal communication skills. You will work developing solutions that excel at user experience, style, performance, reliability, and scalability to reduce costs and improve profit and shareholder value. Your primary responsibilities include: Build, automate and release solutions based on client’s priorities and requirements. Explore and discover risks and resolving issues that affect release scope, schedule and quality and bring to the table potential solutions Make sure that all solutions meet the client specifications and are delivered on time. Lead testing support activities to ensure defects are resolved in satisfactory SLA’s Ensure all Delivery Assurance (DA) Checkpoints are compliant and completed on time Assist with Data Conversion & Reporting activities as needed Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Workday HCM certification and also certified in Reporting. Competence and relevant experience in leading workshops for WD Recruitment modules in at least 1 project. 2+year experience in end-to-end implementation of HCM Core and recruitment for American, European and/or APAC customer businesses is preferred 3 - 4 Years of Workday Experience & Knowledge on Advanced reporting, Prism. WQL. Experience in preparing materials and leading Delivery Assurance reviews Preferred technical and professional experience Hiring Proficiency in Core HCM and advanced reporting in Workday Strong analytical skills to interpret and eventually translate business requirements to system design Excellent oral, written, and interpersonal skills with the ability to effectively manage customer expectations manager and Recruiter should collaborate to create the relevant verbiage.

Identify Business Requirement for Compensation work stream and align them to Workday, driving towards decisions and recommending best practices in all phases of the Project. Use consulting skills, business knowledge, and packaged solution expertise to effectively implement the functionality into the client's business environment in order to achieve client expected business results. Conduct working sessions with clients to gather, understand, analyze and translate business requirements to Workday system Assist clients in integrating the Workday system into their current business environments Advise clients on industry standards for Compensation process areas in order to provide suggestions, drive decision and recommend best practices in all phases of the project Assist client in the resolution of Compensation related issues Work with the client and data migration team to help convert legacy Compensation data into Workday Support project team for successful delivery of the client’s business requirements through all phases of the implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Workday HCM certification and also certified in Core and/or Advanced Compensation or Workday Benefit . Competence and relevant experience in leading workshops for WD Core and/or Advanced Compensation or WD Benefit Workday modules in at least 1 project. 2+year experience in end to end implementation of Core and/or Advanced Compensation module for American, European and/or APAC customer businesses is preferred Preferred technical and professional experience Exposure to applying AI in HR Automation Experience in supporting customer in their annual maintenance model Proficiency in Core HCM and advanced reporting in Workday

Workday Functional Consultant - Advance compensation1 Facilitate requirements gathering and client workshops; translate business needs into effective Workday configurations and maintain detailed functional documentation. Configure core components of Advanced Compensation, including merit cycles, bonus plans, stock programs, and compensation review statements. Set up and maintain Workday security roles, custom reports, and dashboards to support compensation processes. Plan and execute system testing activities, including writing test cases, conducting tests, and managing defect resolution. Deliver user training and create comprehensive end-user and process documentation. Stay current with Workday feature releases and identify opportunities for process enhancements and increased efficiency. Qualifications: 2+ years of experience working in Workday Advanced Compensation.Hands on experience on handling Workday Core Compensation configurations, workflows.Experience with Workday security, business processes, and integrations.Excellent communication skillsShould have done stakeholder management and team leader roleCertification is a plus

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid Overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on Team Overview Target Data Sciences is offering an exciting opportunity to solve state of the art problems in AdTech . Targets Roundel group is emerging as one of the biggest RMN players in US ad-tech ecosystem. As we develop the capabilities of our tech ecosystem, we are looking for driven and passionate individuals with deep AdTech science and engineering experience who can make a change in AdTech development. If you are that person, you can expect to be involved in: Defining, developing and integrating modules for algorithmic decision making with the ad serving tech platform Influencing roadmaps and driving its execution with a team of talented scientists Developing a multi-year vision of embedding science with adtech platform and collaborating with engineers and science team to bring it to life Example of Problem Statements How to maximize yield for advertisers and revenue for Target Technology and algorithms for real time algorithms on ad serving. Architecture to create a set of connected tech capabilities from media planning to media optimization and measurement. Expected skills Minimum 4 years of experience as a practitioner of AdTech Technical proficiency in algorithms, ad science, and engineering Strong collaborator and mentor Preferred domain experience : Creating tech led solutions in advertising, customer relevancy models, bidding strategy, click through rate modelling, etc. About You 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics ) and 4+ years of professional experience or equivalent industry experience Masters degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) Good knowledge and experience developing optimization, simulation, and statistical models Strong analytical thinking skills . Ability to creatively solve business problems, innovating new approaches where required Strong hands-on programming skills in Python, SQL, Hadoop/Hive . Additional knowledge of Spark, Scala, R, Java desired but not mandatory Good working knowledge of mathematical and statistical concepts, MILP, algorithms, and computational complexity Passion for solving interesting and relevant real-world problems using a data science approach Experience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series) etc. Able to produce reasonable documents/narrative suggesting actionable insights Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented; able to meet tight timelines Strong team player with ability to collaborate effectively across geographies/time zones Know More Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Workday Time tracking functional consultant1 Serve as a subject matter expert (SME) for Workday Time Tracking module. Lead the design and configuration of Time Tracking functionalities including time entry, time calculation, work schedules, time offs. Conduct requirements gathering sessions with stakeholders to understand time tracking needs and translate them into Workday solutions. Configure business processes, validations, time entry rules, and condition rules in Workday. articipate in or lead testing efforts including test plan creation, test script writing, and defect resolution. Provide support for user acceptance testing (UAT) and training for end users and HR personnel. Troubleshoot issues and provide day-to-day support post-implementation. Stay up-to-date with Workday releases and recommend improvements or enhancements. Create and maintain documentation including functional specifications, configuration documents, and end-user guides. Need excellent communication skill. Workday Certification would be the value add.

Workday Benefit Consultant1 Workday Benefit Consultant About Company Jade Global has more than two decades of experience implementing ERP systems for mid to large enterprises across industries and domains. Our experience includes implementing Workday, Oracle EBS, Oracle Cloud, NetSuite and SAP and other leading Financials, HR, CRM and SCM packages and solutions. Backed by Workday implementation experience and expertise, Jade Global has built a strong team of HCM experts to provide comprehensive implementation services. These services cover Core HCM, Core and Advance compensation, Benefits, Absence and Time Management, AP/AR/GL and other Workday HCM and Finance Functionalities. We are seeking an experienced and detail-oriented Workday HCM Benefits Specialist to join our team. The ideal candidate will have a strong background in benefits administration, with a specific focus on utilizing the Workday HCM platform to manage and optimize employee benefits programs. The role involves collaborating with cross-functional teams, ensuring compliance with policies and regulations, and delivering exceptional employee experience. Responsibilities Maintain and manage HCM and Benefits related business processes, configurations (i.e., Benefits & Staffing rules and eligibility, support and maintain Open Enrollment Extensive Experience in Workday Benefit and Compensation Modules. Utilize the Workday HCM platform to manage and administer employee benefits programs. In-depth knowledge of how benefits plans are set up in benefits/payroll functional areas. Configure and maintain benefit plans, ensuring accurate enrollment and timely updates. Understanding of the impacts to HCM & Benefits processes and data feeds to other internal and external applications related to the relevant processes. Stay informed about Workday updates and releases to leverage new features for improved benefits administration. Conduct sessions with customers to analyze business requirements and provide solutions to complex business problems. Qualifications- Must have 4 years for Workday Implementation and configuration support experience. Extensive Experience in Workday Benefit and Compensation Modules. Certification in Workday HCM/Benefit is a plus. Well versed in Workday Business Process framework, Alerts/Notification, Advanced Reporting, Dashboards, Security, and EIB. Analytical mindset with the ability to generate and interpret reports. Strong consulting and presentation skills with the ability to effectively manage customer expectations.

JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation

Roles and Responsibility Analyze complex data sets to identify trends and patterns in health-related claims. Develop and implement effective analytical models to predict future claim outcomes. Collaborate with cross-functional teams to design and implement process improvements. Provide expert guidance on health-related risk assessment and mitigation strategies. Conduct thorough analysis of medical records to determine claim validity. Develop and maintain comprehensive reports on claim performance metrics. Job Requirements Strong knowledge of insurance industry regulations and standards. Proficient in analyzing large datasets using advanced statistical techniques. Excellent communication and interpersonal skills. Ability to work effectively in a fast-paced environment with multiple priorities. Strong problem-solving skills with attention to detail. Experience working with healthcare professionals to understand claim requirements. A graduate or postgraduate degree is required.

Job Responsibilities Craft winning proposals to grow the Data Science Practice. Develop and operationalize scalable processes to deliver on large & complex client engagements. Ensure profitable delivery and great customer experience design the end to end solution, put together the right team and deliver as per established processes. Build an A team hire the required skills sets and nurture them in a supporting environment to develop strong delivery teams for the Data Science Practice. Train and mentor staff and establish best practices and ways of working to enhance data science capabilities at Axtria. Operationalize an eco-system for continuous learning & development. Write white papers, collaborate with academia and participate in relevant forums to continuously upgrade self knowledge & establish Axtrias thought leadership in this space. Research, develop, evaluate, and optimize newly emerging algorithms and technologies for relevant use cases in pharma commercial & clinical space.EducationBachelor Equivalent - OtherPG Diploma in ManagementWork ExperienceData Scientist6-15 years of relevant experience in advanced statistical and mathematical models and predictive modeling using Python. Experience in the data science space prior relevant experience in Artificial intelligence and machine Learning algorithms for developing scalable models supervised and unsupervised techniques like NLP and deep Learning Algorithms. Ability to build scalable models using Python, R-Studio, R Shiny, PySpark, Keras, and TensorFlow. ML Ops Engineering6-15 years of experience with MLOps Frameworks like Kubeflow, MLFlow, Data Robot, Airflow, etc., experience with Docker and Kubernetes, OpenShift. Prior experience in end-to-end automated ecosystems including, but not limited to, building data pipelines, developing & deploying scalable models, orchestration, scheduling, automation, and ML operations. Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure, or GCP).Gen AI 6-15 years develop, test, and deploy Python based applications on Azure/AWS platforms. Must have basic knowledge on concepts of Generative AI / LLMs / GPT. Deep understanding of architecture and work experience on Web Technologies. Python, SQL hands-on experience. Expertise in any popular python web frameworks e.g. flask, Django etc. Familiarity with frontend technologies like HTML, JavaScript, REACT.IOS Developer 6+ years of experience in IOS mobile development and 5+ in React Native. Strong background working with React Native tools. Fullstack Developer 6-15 years experience to develop, test and deploy React, Javascript, Python based applications on Azure/AWS platforms. Must have experience working on frontend and backend technologies. Experience on React and Python is a must.Technical CompetenciesML Data ScienceML OpsML engineeringPharmaPythonPySparkAWS Data PipelineAWS EMRAIMLNLPBehavioural CompetenciesOwnershipTeamwork & LeadershipTalent ManagementCultural FitMotivation to Learn and GrowProject Management

Position Summary This Requisition is for the Employee Referral Campaign. We are seeking high-energy, driven, and innovative Data Scientists to join our Data Science Practice to develop new, specialized capabilities for Axtria, and to accelerate the company’s growth by supporting our clients’ commercial & clinical strategies. Job Responsibilities Be an Individual Contributor tothe Data Science team and solve real-world problems using cutting-edge capabilities and emerging technologies. Help clients translate the business use cases they are trying to crack into data science solutions. Provide genuine assistance to users by advising them on how to leverage Dataiku DSS to implement data science projects, from design to production. Data Source Configuration, Maintenance, Document and maintain work-instructions. Deep working onmachine learning frameworks such as TensorFlow, Caffe, Keras, SparkML Expert knowledge in Statistical and Probabilistic methods such as SVM, Decision-Trees, Clustering Expert knowledge of python data-science and math packages such as NumPy , Pandas, Sklearn Proficiency in object-oriented languages (Java and/or Kotlin),Python and common machine learning frameworks(TensorFlow, NLTK, Stanford NLP, Ling Pipe etc Education Bachelor Equivalent - Engineering Master's Equivalent - Engineering Work Experience Data Scientist 3-5 years of relevant experience in advanced statistical and mathematical models and predictive modeling using Python. Experience in the data science space prior relevant experience in Artificial intelligence and machine Learning algorithms for developing scalable models supervised and unsupervised techniques likeNLP and deep Learning Algorithms. Ability to build scalable models using Python, R-Studio, R Shiny, PySpark, Keras, and TensorFlow. Experience in delivering data science projects leveraging cloud infrastructure. Familiarity with cloud technology such as AWS / Azure and knowledge of AWS tools such as S3, EMR, EC2, Redshift, and Glue; viz tools like Tableau and Power BI. Relevant experience in Feature Engineering, Feature Selection, and Model Validation on Big Data. Knowledge of self-service analytics platforms such as Dataiku/ KNIME/ Alteryx will be an added advantage. ML Ops Engineering 3-5 years of experience with MLOps Frameworks like Kubeflow, MLFlow, Data Robot, Airflow, etc., experience with Docker and Kubernetes, OpenShift. Prior experience in end-to-end automated ecosystems including, but not limited to, building data pipelines, developing & deploying scalable models, orchestration, scheduling, automation, and ML operations. Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure, or GCP). Programming languages like Python, Go, Ruby, or Bash, a good understanding of Linux, knowledge of frameworks such as Keras, PyTorch, TensorFlow, etc. Ability to understand tools used by data scientists and experience with software development and test automation. Good understanding of advanced AI/ML algorithms & their applications. Gen AI :Minimum of 4-6 years develop, test, and deploy Python based applications on Azure/AWS platforms.Must have basic knowledge on concepts of Generative AI / LLMs / GPT.Deep understanding of architecture and work experience on Web Technologies.Python, SQL hands-on experience.Expertise in any popular python web frameworks e.g. flask, Django etc. Familiarity with frontend technologies like HTML, JavaScript, REACT.Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on LLM/GenAI/GPT.Can interact with client on GenAI related capabilities and use cases.

As a Workday Consultant you will serve as a client-facing practitioner who leads and implements expert services utilizing the breadth of IBM's offerings and technologies. A successful Consultant is regarded by clients as a trusted business advisor who collaborates to provide innovative solutions used to solve the most challenging business problems. Candidates for this role should have proven delivery experience with Workday, including outstanding presentation, written and verbal communication skills. You will work developing solutions that excel at user experience, style, performance, reliability, and scalability to reduce costs and improve profit and shareholder value. Your primary responsibilities include: Build, automate and release solutions based on client’s priorities and requirements. Explore and discover risks and resolving issues that affect release scope, schedule and quality and bring to the table potential solutions Make sure that all solutions meet the client specifications and are delivered on time. Lead testing support activities to ensure defects are resolved in satisfactory SLA’s Ensure all Delivery Assurance (DA) Checkpoints are compliant and completed on time Assist with Data Conversion & Reporting activities as needed Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Workday HCM certification and also certified in Reporting. Competence and relevant experience in leading workshops for WD Recruitment modules in at least 1 project. 2+year experience in end-to-end implementation of HCM Core and recruitment for American, European and/or APAC customer businesses is preferred 3 - 4 Years of Workday Experience & Knowledge on Advanced reporting, Prism. WQL. Experience in preparing materials and leading Delivery Assurance reviews Preferred technical and professional experience Hiring Proficiency in Core HCM and advanced reporting in Workday Strong analytical skills to interpret and eventually translate business requirements to system design Excellent oral, written, and interpersonal skills with the ability to effectively manage customer expectations manager and Recruiter should collaborate to create the relevant verbiage. Create up to 3 bullets max

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on Every Scientist on Target s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Target s culture and apply retail domain knowledge. Position Overview: As a Senior Data Scientist, you will be involved in end-to-end development of Ad-Tech products and capabilities that fulfil strategic priorities and power growth of Roundel, Target s Retail media business. You will leverage understanding of data and algorithms to build prototypes and run experiments to evaluate them against given specifications. As you follow agile processes, you will implement and deploy a scalable data science solution by using MLOps best practices across model development life cycle. You will collaborate with product and business partners to seek feedback on effectiveness of solution and identify future opportunities for enhancements. You will work with your peers to create a well-maintainable & tested codebase with relevant documentation. The exciting part of retail and mediaIt s always changing! Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About You: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience 3+ years of professional experience or equivalent industry experience Good knowledge and experience developing optimization, simulation and statistical models Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches, where required Strong hands-on programming skills in Python, SQL, Spark, Hadoop/Hive . Good working knowledge of mathematical and statistical concepts, MILP, algorithms and computational complexity Passion for solving interesting and relevant real-world problems using a data science approach Experience in implementing advanced statistical techniques like r egression, clustering, PCA, forecasting (time series) etc. Able to produce reasonable documents/narrative suggesting actionable insights Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs and narratives Self-driven and results oriented; able to meet tight timelines Strong team player with ability to collaborate effectively across geographies/time zones Know More About Us here: Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Management Level: Ind&Func AI Decision Science Manager Location: Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods:SVM, Decision Trees, Programming Languages & Tools:Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP). Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Manager to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. This role will focus on Market Mix Modeling (MMM), where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. This role offers an exciting opportunity to collaborate with leading financial clients and leverage cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models, delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping, staffing, and execution phases. Practice Enablement Mentor and guide analysts, consultants, and managers to build their expertise in Market Mix Modeling and analytics. Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and the development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM, ensuring the development of high-quality client proposals and responses to RFPs. Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 5+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization, AI/ML models, and advanced statistical techniques for marketing. Proficiency in programming languages such as Python, NumPy, Pandas, Sklearn, Seaborne, Pycaret, and Matplotlib. Experience with cloud platforms such as AWS, Azure, or GCP and data migration to Snowflake. Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures. Additional Information Masters degree in Statistics, Econometrics, Economics, or related fields from reputed universities. Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights. About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: 5+ years of advanced experience in Market Mix Modeling (MMM) and related optimization techniques for promotional channels and budget allocation 2+ years for Analysts & 4+ years for Consultants of experience in consulting/analytics with reputed organizations Educational Qualification: Masters degree in Statistics, Econometrics, Economics, or related fields from reputed institutions Ph.D. or M.Tech in relevant fields is an advantage