1143 Statistical Modeling Jobs - Page 5

As a Bioinformatics Technical Lead at our organization, you will be responsible for driving our computational biology initiatives. With at least 6-8 years of industry or academic experience, holding a PhD or Masters in a relevant field, you will have a demonstrated track record in developing and refining high-throughput pipelines for various omics data types, such as RNA-seq, methylation, and new NGS modalities. This role requires a high level of technical expertise, creativity, and the ability to innovate novel computational algorithms. You will have the opportunity to collaborate directly with distinguished professors from prestigious institutions like MIT, Caltech, Harvard, and others. While primarily functioning as an individual contributor, you will guide a small team of 24 highly qualified bioinformaticians in a technical capacity, focusing on pipeline development, optimization, and algorithmic enhancements. Your key responsibilities will include designing, implementing, and optimizing scalable, production-grade pipelines for NGS data analysis, ensuring reproducibility, efficiency, and accuracy of computational workflows. You will also be involved in developing and applying novel computational algorithms for gene expression profiling, variant calling, and other genomic analyses, as well as mentoring junior bioinformaticians and computational scientists. Collaboration with molecular biologists, data scientists, and software engineers will be essential in translating project goals into robust computational strategies. Maintaining high standards of data integrity, documentation, and version control, as well as implementing quality control checks and validation strategies, will also be part of your role. To qualify for this position, you should hold a PhD in Bioinformatics, Computational Biology, Computer Science, or a related field, or a Masters degree with significant experience. You must have 6-8 years of hands-on experience analyzing high-throughput NGS data, with a focus on RNA-seq, and a proven track record in developing production-level bioinformatics pipelines. Strong programming skills in at least one major language, familiarity with HPC clusters or cloud computing environments, and expertise in data mining, machine learning, or statistical modeling techniques relevant to genomics are essential technical skills required. Preferred qualifications include experience working in a regulated environment, familiarity with workflow management systems, knowledge of containerization technologies, and a history of publications or patents in computational genomics or related areas. Soft skills such as the ability to work in a fast-paced, collaborative environment, strong problem-solving abilities, and the willingness to adapt to new technologies and methodologies will be beneficial in this role.,

As a S&C GN AI - Insurance AI Generalist Consultant at Accenture, you will play a key role in driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Your responsibilities will include providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. You will have the opportunity to work with Accenture's Global Network, a unified powerhouse that combines the capabilities of Strategy & Consulting with Data and Artificial Intelligence. This role will involve architecting, designing, building, deploying, delivering, and monitoring advanced analytics models, including GenAI, to solve client problems. You will also be responsible for developing functional aspects of Generative AI pipelines and interfacing with clients to understand engineering and business problems. The ideal candidate for this role will have at least 5 years of experience in data-driven techniques, including exploratory data analysis, data pre-processing, machine learning, and visualization. A Bachelor's or Master's degree in Mathematics, Statistics, Economics, Computer Science, or a related field is required. Strong analytical, problem-solving, and communication skills are essential, along with proficiency in programming languages such as Python, PySpark, SQL, and Scala. Experience in implementing AI solutions for the Insurance industry and production-grade integration of AI/ML pipelines is preferred. Additionally, familiarity with Azure, AWS, or Databricks tools, as well as GenAI, LLMs, RAG architecture, and Lang chain frameworks, would be beneficial. Strong communication, collaboration, and presentation skills are necessary to effectively convey complex data insights and recommendations to clients and stakeholders. Joining Accenture offers you the opportunity to work on innovative projects, experience career growth, and gain leadership exposure. If you thrive in a fast-paced, dynamic environment and are passionate about leveraging Generative AI to drive business success, this role is perfect for you.,

FalconX is a trailblazing team dedicated to transforming institutional access to the crypto markets. Situated at the convergence of traditional finance and cutting-edge technology, FalconX addresses the challenges of the digital asset market by providing comprehensive solutions for all digital asset strategies. We empower our clients with seamless navigation through the ever-evolving cryptocurrency landscape. We are currently looking for a highly skilled and motivated Quantitative Trader to join our dynamic team. As a Quantitative Trader at FalconX, you will be instrumental in enhancing our trading capabilities in both OTC and electronic derivatives trading. The ideal candidate will possess a strong background in Python, experience in handling large datasets, and a team-oriented approach to problem-solving. **Key Responsibilities:** - Supporting the derivatives trading business in both OTC and electronic derivatives trading - Engaging with large institutional clients to facilitate high-touch OTC derivatives trading - Contributing to all facets of the trading desk activities, which include client relationship management, risk management, post-trade analysis, and position reconciliation - Proposing and implementing process improvements and automation solutions - Developing new trading tools to support process enhancement and strategy development - Playing a crucial role in managing derivatives book risk and optimizing trading strategies **Qualifications:** - Bachelor's or Master's degree in Computer Science, Mathematics, or a related field - Proficiency in Python - 4-7 years of overall experience in quant trading - Experience with data analysis and statistical modeling is advantageous - Excellent problem-solving skills and ability to work effectively under pressure - Strong communication and collaboration skills to thrive in a cross-functional team environment - Ability to adapt to a fast-paced and rapidly changing digital assets industry FalconX is committed to fostering a diverse, inclusive, equitable, and safe workspace for all individuals. We welcome applicants from all backgrounds and encourage anyone interested in applying to submit an application, regardless of meeting all the listed background requirements, skills, or experiences. If you have a disability and require reasonable accommodation during the application process, please contact FalconX's People team at recruiting@falconx.io to ensure equal employment opportunity without undue hardship.,

As a part of this role, you will be responsible for defining metrics that measure the success of our products. You will also be involved in product experimentation through AB testing to enhance the overall performance. Additionally, the job entails conducting opportunity analysis by delving into data and identifying patterns that can drive product enhancements. Your responsibilities will also include statistical modeling for forecasting, propensity analysis, and understanding customer behaviors, particularly in the context of AB testing. Furthermore, it would be advantageous if you possess skills in creating dashboards for executive presentations. Having domain knowledge in the advertising space and prior experience with pricing strategies would also be considered beneficial for this role.,

The Decision Science Consultant position at Xtage offers a unique opportunity to be part of a dynamic team that drives high-impact business decisions through analytical insights. As a member of the Decision Science team, you will play a crucial role in transforming complex data into actionable strategies that fuel growth and shape the organization's direction. Your primary responsibilities will include aggregating, analyzing, and interpreting website visitor behavior data across various platforms. You will be tasked with building data visualizations and reports that provide key insights for decision-making within the organization. Experience with Adobe analytics and click-stream data will be essential for generating valuable insights and automated funnel reporting. In this role, you will also automate anomaly detection, conduct ad-hoc analysis, and utilize data science models to drive business decisions. Your ability to create informative and repeatable reports highlighting business trends and improvement opportunities will be crucial. Additionally, you will develop processes for data monitoring, validation, and optimization to enhance business outcomes. The ideal candidate for this position will have 2 to 4 years of experience in eCommerce or D2C visitor analysis, with a strong background in analyzing raw clickstream data. Proficiency in Adobe Analytics, SQL, and Python will be required to uncover user paths, engagement patterns, and conversion funnels. Experience with visualization tools such as Power BI or Tableau will be advantageous. A strong understanding of statistical concepts including EDA, Anomaly Detection, Regression, and Hypothesis Testing is preferred. The role also involves conducting cross-training sessions to introduce new tools and techniques for mining customer insights. This fully remote position requires at least 4 hours of overlap with the US team in the CST Time Zone. Salary will be based on experience and current package. Join Xtage, a data science consulting firm dedicated to solving business problems through advanced analytics, machine learning, and artificial intelligence. Be part of a team that enables data-driven decisions and wiser insights. Learn more about Xtage at: http://xtagelabs.com/,

As a Quantitative Research Associate at Alt Carbon, you will be an integral part of our Science & Modeling team at Shonku Labs located in Bangalore (IISc Campus) or through a hybrid working model. With a rich experience of 14 years, you will join our pioneering efforts in Carbon Removal (CDR) to combat climate change by combining science, technology, and tradition. Alt Carbon, founded by Shrey and Sparsh Agarwal, focuses on Carbon Dioxide Removal (CDR) through Enhanced Rock Weathering (ERW) to address historic emissions in the atmosphere. Our operations in Darjeeling's heritage tea estates exemplify our commitment to climate action and sustainability. Your role will involve designing and validating mathematical models related to mineral weathering, geochemical fluxes, and carbon sequestration. You will work collaboratively with various teams to transform complex physical data into accurate CDR figures and contribute to the development of registry-grade carbon accounting methods. Key Responsibilities: - Designing and validating mathematical models for mineral weathering and carbon sequestration - Conducting uncertainty quantification and error analysis - Building Monte Carlo simulations and stochastic models for carbon accounting - Analyzing datasets from lab, field, and satellite sources - Supporting sampling optimization strategies - Collaborating with product and software teams for scientific integration - Contributing to technical publications and whitepapers Qualifications: - Bachelor's or Master's degree in Mathematics, Applied Statistics, Data Science, Physics, Environmental Engineering, Computational Sciences, or related fields - Experience in statistical modeling, error analysis, and simulation methods - Proficiency in Python or R for data analysis - Ability to understand and replicate scientific models and equations - Bonus: Familiarity with spatial data, environmental datasets, or climate modeling As a quantitative thinker, you will thrive in the complexity of real-world data, treating uncertainty as a solvable challenge. Your rigorous approach to modeling and data analysis will play a crucial role in influencing public policy, climate impact, and planetary systems. Join us in shaping the future of carbon removal science and making a meaningful impact on global climate change efforts.,

As an experienced Quantitative Researcher/Developer, you will be responsible for enhancing and scaling live IBKR TWS algorithms. Your role will involve end-to-end strategy development, including math-driven model design, backtesting, low-latency implementation, and continuous performance tuning. Your key responsibilities will include auditing, troubleshooting, and optimizing existing TWS/IBKR Python strategies for equities, options, and futures. You will also design and deploy high-frequency trading/low-latency strategies using statistical, machine learning, and signal-processing techniques. Additionally, you will employ time-series analysis, probability modeling, VaR, tail-risk, and skewness/drawdown metrics for quantitative analysis. In terms of infrastructure and automation, you will build robust data pipelines, integrate with IBKR's API, and automate end-to-end backtest/live-trade processes. Collaboration with the trading desk to translate research into production-grade code and mentor junior quants will also be a key aspect of your role. The ideal candidate should have at least 5 years of professional experience as a quantitative researcher/developer in electronic equities, options, or futures markets. Deep expertise in IBKR TWS API & Python, high-frequency trading strategies, statistics, mathematics, and experience with US market live-tested algos are required. Proficiency in engineering best practices such as version control, CI/CD pipelines, code review, and performance profiling is essential. Preferred skills include proficiency in Python/C++ for latency-sensitive components, knowledge of cloud infrastructure for scaling back tests, and familiarity with machine learning frameworks for signal generation. For the interview process, you may be asked questions related to algorithm debugging, latency optimization, statistical modeling, risk management, and live strategy examples to assess your skills and experience in quantitative research and development. Overall, this role requires a strong background in quantitative research and development, expertise in algorithm optimization, statistical modeling, risk management, and collaboration with trading desks to drive the enhancement and scaling of live IBKR TWS algorithms.,

The Data Science Senior Analyst role at our organization is a senior professional position that requires deep disciplinary knowledge. You will contribute to the development of new techniques and enhance processes and workflows within your area. Your expertise will be essential in integrating subject matter and industry insights. You must have a thorough understanding of how different areas integrate within the sub-function and align with the overall business objectives. Your role will involve evaluating moderately complex issues with significant potential impact, where you will need to weigh various alternatives and balance conflicting situations using multiple sources of information. Strong analytical skills are necessary to filter, prioritize, and validate complex and dynamic material from various sources. Excellent communication and diplomacy skills are vital for this role, as you will regularly take on informal or formal leadership responsibilities within teams. You will also be involved in coaching and training new team members. Your influence will be significant in terms of project size and geography, as you will provide advice, counsel, and services that impact decisions within your area of specialization. The performance of all teams in the area will be directly affected by your work and leadership. Responsibilities: - Conduct strategic data analysis, identify insights, and make strategic recommendations - Develop data displays to clearly communicate complex analysis - Mine and analyze data from various banking platforms to optimize processes and improve data quality - Deliver analytics initiatives to address business problems by determining required data, assessing time and effort, and establishing project plans - Consult with business clients to determine system functional specifications - Lead the system change process from requirements through implementation - Formulate and define systems scope and objectives for complex projects - Drive communication between business leaders and IT - Assess risks and ensure compliance with applicable laws, rules, and regulations - Perform other duties and functions as assigned Qualifications: - 5-8 years of experience in business and data analysis, process improvement, and project management - Ability to use complex analytical, interpretive, and problem-solving techniques effectively - Demonstrated interpersonal, verbal, and written communication skills - Methodical attention to detail - Experience using tools for statistical modeling of large data sets Education: - Bachelor's/University degree or equivalent experience This job description offers an overview of the work you will be performing. Additional job-related duties may be assigned as necessary. If you are a person with a disability and require a reasonable accommodation to use our search tools or apply for a career opportunity, please review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.,

We are seeking a highly skilled and motivated Lead DS/ML engineer to join our team. The role is critical to the development of a cutting-edge reporting platform designed to measure and optimize online marketing campaigns. We are seeking a highly skilled Data Scientist / ML Engineer with a strong foundation in data engineering (ELT, data pipelines) and advanced machine learning to develop and deploy sophisticated models. The role focuses on building scalable data pipelines, developing ML models, and deploying solutions in production to support a cutting-edge reporting, insights, and recommendations platform for measuring and optimizing online marketing campaigns. The ideal candidate should be comfortable working across data engineering, ML model lifecycle, and cloud-native technologies. Job Description: Key Responsibilities: Data Engineering & Pipeline Development Design, build, and maintain scalable ELT pipelines for ingesting, transforming, and processing large-scale marketing campaign data. Ensure high data quality, integrity, and governance using orchestration tools like Apache Airflow, Google Cloud Composer, or Prefect. Optimize data storage, retrieval, and processing using BigQuery, Dataflow, and Spark for both batch and real-time workloads. Implement data modeling and feature engineering for ML use cases. Machine Learning Model Development & Validation Develop and validate predictive and prescriptive ML models to enhance marketing campaign measurement and optimization. Experiment with different algorithms (regression, classification, clustering, reinforcement learning) to drive insights and recommendations. Leverage NLP, time-series forecasting, and causal inference models to improve campaign attribution and performance analysis. Optimize models for scalability, efficiency, and interpretability. MLOps & Model Deployment Deploy and monitor ML models in production using tools such as Vertex AI, MLflow, Kubeflow, or TensorFlow Serving. Implement CI/CD pipelines for ML models, ensuring seamless updates and retraining. Develop real-time inference solutions and integrate ML models into BI dashboards and reporting platforms. Cloud & Infrastructure Optimization Design cloud-native data processing solutions on Google Cloud Platform (GCP), leveraging services such as BigQuery, Cloud Storage, Cloud Functions, Pub/Sub, and Dataflow. Work on containerized deployment (Docker, Kubernetes) for scalable model inference. Implement cost-efficient, serverless data solutions where applicable. Business Impact & Cross-functional Collaboration Work closely with data analysts, marketing teams, and software engineers to align ML and data solutions with business objectives. Translate complex model insights into actionable business recommendations. Present findings and performance metrics to both technical and non-technical stakeholders. Qualifications & Skills: Educational Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or a related field. Certifications in Google Cloud (Professional Data Engineer, ML Engineer) is a plus. Must-Have Skills: Experience: 5-10 years with the mentioned skillset & relevant hands-on experience Data Engineering: Experience with ETL/ELT pipelines, data ingestion, transformation, and orchestration (Airflow, Dataflow, Composer). ML Model Development: Strong grasp of statistical modeling, supervised/unsupervised learning, time-series forecasting, and NLP. Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL for large-scale data processing. Cloud & Infrastructure: Expertise in GCP (BigQuery, Vertex AI, Dataflow, Pub/Sub, Cloud Storage) or equivalent cloud platforms. MLOps & Deployment: Hands-on experience with CI/CD pipelines, model monitoring, and version control (MLflow, Kubeflow, Vertex AI, or similar tools). Data Warehousing & Real-time Processing: Strong knowledge of modern data platforms for batch and streaming data processing. Nice-to-Have Skills: Experience with Graph ML, reinforcement learning, or causal inference modeling. Working knowledge of BI tools (Looker, Tableau, Power BI) for integrating ML insights into dashboards. Familiarity with marketing analytics, attribution modeling, and A/B testing methodologies. Experience with distributed computing frameworks (Spark, Dask, Ray). Location: Bengaluru Brand: Merkle Time Type: Full time Contract Type: Permanent Show more Show less

The Spec Analytics Intmd Analyst role is a developing professional position where you deal with most problems independently and have the latitude to solve complex issues. By integrating in-depth specialty area knowledge with a solid understanding of industry standards and practices, you contribute to achieving the objectives of the sub function/job family. Your analytical thinking and knowledge of data analysis tools and methodologies are crucial, requiring attention to detail to make informed judgments and recommendations based on factual information. You will typically handle variable issues with potential broader business impact, applying professional judgment when interpreting data and results in a systematic and communicable manner. Developed communication and diplomacy skills are essential to exchange potentially complex/sensitive information and have a moderate but direct impact on the businesses" core activities. The quality and timeliness of service you provide will affect the effectiveness of your team and other closely related teams. Responsibilities: - Work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies - Identify and compile data sets using various tools (e.g. SQL, Access) to predict, improve, and measure the success of key business outcomes - Document data requirements, data collection/processing/cleaning, and exploratory data analysis, which may involve utilizing statistical models/algorithms and data visualization techniques - Specialize in marketing, risk, digital, and AML fields - Appropriately assess risk when making business decisions, ensuring compliance with applicable laws, rules, and regulations, safeguarding Citigroup, its clients, and assets Skills and Experience: - 5+ years of relevant experience in data science, machine learning, or a related field - Advanced process management skills, organized, and detail-oriented - Curiosity in learning and developing new skill sets, particularly in artificial intelligence - Positive outlook with a can-do mindset - Strong programming skills in Python and proficiency in relevant data science libraries like scikit-learn, TensorFlow, PyTorch, and Transformers - Experience with statistical modeling techniques, including regression, classification, and clustering - Experience building GenAI solutions using LLMs and vector databases - Experience with agentic AI frameworks such as Langchain, Langraph, MLOps - Experience with data visualization tools like Tableau or Power BI - Must-have skills: Strong logical reasoning capabilities, willingness to learn new skills, good communication and presentation skills Education: - Bachelors/University degree or equivalent experience This job description offers a high-level overview of the work performed, and additional job-related duties may be assigned as required.,

We are Brainlabs, the High-Performance media agency, on a mission to become the world&aposs biggest and best independent media agency. We plan and buy media that delivers profitable and sustained business impact. And whats our formula Superteams of Brainlabbers, fueled by data and enabled by technology. Brainlabs has always been a culture-first company. In fact, from the very beginnings of the agency a set of shared principles, philosophies and values was documented in The Brainlabs Handbook, helping us create our unique culture. As with everything here we always seek to adapt and improve so The Brainlabs Handbook has been fine-tuned to become The Brainlabs Culture Code. This Culture Code consists of 12 codes that talk to what it means to be a Brainlabber. Its a joint commitment to continuous development and creating a company that we can all be proud of, where Brainlabbers can turn up to do great work, make great friends and win together. You can read The Brainlabs Culture Code in full here. Classification: Full time Team: Data Science Practice Reporting to: Head of Data Services Location: Bengaluru (Hybrid model of working) Experience Range - 13-15 Years Of Experience. As a Director, Data Science youll execute data science initiatives, influence senior leadership and shape the data science roadmap for the organization. The ideal candidate will have extensive experience in statistical modeling, machine learning, Generative AI, MLOps, and cloud-based solutions, along with a track record of leading large-scale projects, mentoring high-performing teams, and deploying models into production. What you do: Strategy & Roadmap: Build and define Brainlabs global Data Science capability roadmap, focused on advanced media optimisation and marketing effectiveness Product Development: Work through all stages of product development: defining capability, crafting business solutions, gathering/structuring data, building ML/DL/AI models, and communicating business impact. Innovation: Research and bring innovations to develop next-generation solutions in marketing & media analytics, incorporating advancements like GPT, LLMs, Agentic AI and multimodal data pipelines Team Leadership: Grow and mentor a high-performing data science team, driving thought leadership, R&D culture, and global collaboration. Pre-sales Support: Estimate project efforts, creating detailed proposals, and developing Statements of Work (SOWs). respond to Requests for Proposals (RFPs) with innovative, tailored analytics solutions. Client/Stakeholder Communication: Engage with diverse stakeholders, including clients, team members, and management. Organizational Initiatives: Lead key organizational initiatives focused on enhancing operational efficiency, service quality, and employee engagement. Analysis: Ability to analyze data and prescribe model-based recommendations/actions for the end users. Process Management: Manage projects in an Agile environment. Who You Are Experienced: A visionary leader with 13-15 years in Data Science projects, 4+ years in Marketing Analytics Educated: Bachelors/Masters degree in relevant field (Math, Statistics, Analytics, Operational Research or related disciplines) Technically Skilled: Experience building ML/DL/NLP/AI models (Python, R, Scala). Experienced with frameworks like TensorFlow, PyTorch, YOLO as well as marketing specific models like Meridian, Robyn and PyMC LLM & AI Specialist: Deep understanding of Agentic AI frameworks (AutoGPT, BabyAGI, OpenAgents) and LLMs (GPT, Claude, Gemini, LLaMA) Cloud & MLOps Fluent: Familiar with MLOps, ML safety and building scalable architectures on AWS, GCP, Azure, or Nvidia stack How You Succeed Culture: You will live our culture code every day! Client Success: Client satisfaction targets being met (internal & external) Deliver Business Impact: Translate complex analytical challenges into actionable solutions that drive measurable outcomes and revenue growth. Lead & Influence: Effectively lead interdisciplinary teams, provide thought leadership, and collaborate with various stakeholders. Lead with Innovation: Stay ahead of trends in Agentic AI, AI safety, regulatory frameworks etc. ,to maintain a competitive edge. Quality: Ensure quality across the deliverables Process Adherence: Enforce compliance with standard operating procedures, best practices, and organizational guidelines. Business Growth: Identify opportunities to expand existing accounts and develop new business by understanding client needs, proposing value-driven solutions, and fostering long-term relationships. Brainlabs delivers high performance for our clients and ourselves. We do that through our high-performance culture. That means each and every one of us has very clear goals every year which are the focus for our own contribution, growth and coaching. Practice Efficiency Working effectively to manage your own time in accordance with client requirements Client Client satisfaction One client case study produced to show the impact of your work on growing client business Practice Growth Learning certification/hours met Actively contributing ideas and innovations to the wider practice Technology & QA Adoption target of 100% met 95% QA metric hit Process automation Live our Culture Code Give 5 meaningful pieces of feedback each month Receive 360 positive feedback on how you live our Culture Code Grow Knowledge Complete Brainlabs Data Science Advanced Certification Brainlabs Internal Mentor accreditation (Optional) What happens next We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you. Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know! Please note that we will never ask you to transfer cash or make any other payment to us in order to apply for a role or to work for Brainlabs. Any such asks are fraudulent and should be reported to the appropriate authorities in your area. Show more Show less

NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated 20,000 employees optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe. We are on the lookout for a data scientist who is passionate about data and problem-solving. The ideal candidate who is eager to learn, can work collaboratively with various teams, and is committed to staying updated with the latest developments in data science and machine learning. We value individuals who are proactive, detail-oriented, and ready to contribute their expertise to our diverse analytical projects. If you are someone who thrives in a challenging environment and is looking for a role where you can make a significant impact, we would love to hear from you. To be successful in this position, a candidate's specific skills include, but are not limited to: Partnership: Work closely with colleagues from Sales, Operations, Product, Finance, and others to understand their domain, processes and come up with solutions for their problems and tools to make their day-to-day operations efficient and effective. Strategic and Analytical Orientation: Experienced in decision making and problem solving based on analytics. Conceptual thinking for framework creation combined with strong quantitative orientation to solve complex problems with rigorous analytics and monitoring. Strong Technical/Programming Skills: Orientation to & ability to code in languages such as SQL, Python, integrate structured & unstructured internal & external data sources to create user interfaces, adept at building visualizations using UI tools. Machine Learning/Statistical Modeling: Training and hands-on experience either through coursework and/or professional experience. Strong Communication Skills: Strong written and oral communication skills coupled with skills to influence and drive agreement through intellectual, interpersonal, and negotiation skills. Execution Focus: Build and manage execution plans of business intent, requirements, execute against the strategy and monitor results. Results Focus: Focused on achieving short and long-term goals. Able to drive and execute an agenda in an uncertain, fluid environment with minimal supervision. Strong business judgment, leadership, and integrity: Tenacious decision-maker able to bring healthy, aggressive yet responsible approach to business. Product Maker: The right candidate will be self-motivated and have a Product Maker mindset. Strong conceptual thinking to understand the business and ability to grasp analytical & technical concepts. What to Expect Developing processes and tools to monitor and analyze model performance and data accuracy. Leading ongoing reviews of business processes and developing optimization strategies. Conducting advanced statistical analysis to provide actionable insights, identify trends, and measure performance. Collaborating with stakeholders and teams to implement and evaluate the data science models and outcomes. Working with data engineering teams to validate data ETL process as data environment transition to cloud. Proposing solutions and strategies to business challenges. Presenting information using data visualization techniques. Minimum Qualifications: Bachelor's degree in a technical discipline with 1+ years of experience or advanced degree with a commensurate level of work experience. Expertise in multiple programming languages including Python, R, and SQL. Deep understanding of machine learning algorithms and principles. Experience with cloud platforms like AWS or Google Cloud. Proficiency in big data frameworks like Hadoop or Spark. Ability to perform complex data analysis and build predictive models. Strong skills in data visualization and presentation. Offers of employment are conditional upon passage of screening criteria applicable to the job.,

Leads GLOBAL DATA SCIENCE & ADVANCED ANALYTICS within the Analytics Continuum Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms You connect the dots - Merge multiple data sources and build Statistical Models / Machine Learning models in Price and Promo Elasticity Modeling, Marketing Mix Modeling to derive actionable business insights and recommendation Assemble large, sophisticated data sets that meet functional / non-functional business requirements Build data and visualization tools for Business analytics to assist them in decision making You are a collaborator - Work closely with Division Analytics team leads Work with data and analytics specialists across functions to drive data solutions You are an innovator - Identify, design, and implement new algorithms, process improvements: while continuously automating processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Qualifications What you ll need BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 3+ years of experience in building data models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory), R, SQL, PySpark, SparkR Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build, Cloud Run. Knowledge of using GitHub, Airflow for coding and model executions and model deployment on cloud platforms Working knowledge on tools like Looker, Domo, Power BI and web apps framework using plotly, pydash, sql Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment What you ll need (Preferred) Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Effectiveness Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Experience visualizing/presenting data for partners using: Looker, DOMO, pydash, plotly, d3.js, ggplot2, pydash, streamlit etc Willingness and ability to experiment with new tools and techniques Ability to maintain personal composure and thoughtfully handle difficult situations. Knowledge of Google products (BigQuery, data studio, colab, Google Slides, Google Sheets etc)

The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. Conceptualizes and builds predictive modelling, simulations, and optimization solutions for clear $ objectives and measured value. The Data Scientist would work on a range of projects ranging across Revenue Growth Management, Market Effectiveness, Forecasting etc Data Scientist needs to handle relationships independently with Business and to drive projects such as Price Promotion, Marketing Mix and Forecasting You are a function expert - Leads GLOBAL DATA SCIENCE & ADVANCED ANALYTICS within the Analytics Continuum Conceptualizes and builds predictive modelling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms You connect the dots - Merge multiple data sources and build Statistical Models / Machine Learning models in Price and Promo Elasticity Modelling, Marketing Mix Modelling to derive actionable business insights and recommendation Assemble large, sophisticated data sets that meet functional / non-functional business requirements Build data and visualization tools for Business analytics to assist them in decision making You are a collaborator - Work closely with Division Analytics team leads Work with data and analytics specialists across functions to drive data solutions What you'll need BE/BTECH [ Computer Science, Information Technology is preferred], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building data models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc Hands on experience on coding languages Python(mandatory), R, SQL, PySpark, SparkR Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build, Cloud Run. Knowledge of using GitHub, Airflow for coding and model executions and model deployment on cloud platforms Working knowledge on tools like Looker, Domo, Power BI and web apps framework using plotly, pydash, sql Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment What you'll need (Preferred) Handling, redefining, and developing statistical models for RGM/Pricing and/or Marketing Effectiveness Experience with third-party data ie, syndicated market data, Point of Sales, etc Solid understanding of consumer-packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc) and their real-world advantages/drawbacks. Experience visualizing/communicating data for partners using: Tableau, DOMO, pydash, plotly, d3.js, ggplot2, pydash, R Shiny etc Willingness and ability to experiment with new tools and techniques Ability to maintain personal composure and thoughtfully handle difficult situations. Knowledge of Google products (Big Query, data studio, colab, Google Slides, Google Sheets etc

The Legal Analytics lead (Vice President) at AIM, based in Gurugram, reports to the Legal Analytics head (Senior Vice President) and is responsible for leading a team of statisticians and Data Science experts. The primary responsibilities include Model Development, Validation, Governance, and Documentation, ensuring quality, reliability, and usability of work products. It involves evaluating and refining statistical methods and procedures for data validity, applicability, efficiency, and accuracy. Ensuring proper documentation of all project work and responding to Internal Audit, Compliance Testing, and Regulators questions are critical aspects of the role. The Specialized Analytics Sr. Mgr manages professional teams and departments, integrating subject matter and industry expertise. The role requires in-depth understanding of how areas collectively integrate within the sub-function, contributing to standards and objectives of the entire function. Communication and diplomacy skills are essential to guide, influence, and convince others. Responsibilities include volume, quality, timeliness, and delivery of end results, along with planning, budgeting, and policy formulation within the area of expertise. Full management responsibility of a team involves performance evaluation, compensation, hiring, and budget approval. Responsibilities of the role include supporting model validation process for Model Risk Management, developing and implementing automated solutions for managing increasing model volumes, overseeing predictive model and machine learning algorithm development, and documenting data requirements and data analysis. The role also involves interfacing between business and technology partners, offering technical guidance, communicating findings to senior management, and ensuring compliance with data governance policies and regulatory requirements. The ideal candidate should have 10-15 years of experience in Data Science roles with a strong understanding of statistical modeling, machine learning, and data mining techniques. The ability to translate complex data into actionable insights, interact with senior stakeholders, manage end-to-end implementation of data science solutions, and lead a team effectively are crucial. In-depth knowledge of financial service business models, proficiency in advanced statistical techniques, creative problem-solving skills, and excellent communication skills are essential for this role. Education requirements include a Bachelors or Masters degree in STEM, with a preference for a Masters degree. The role falls under the Decision Management job family group, specifically within the Specialized Analytics (Data Science/Computational Statistics) job family. This is a full-time position at Citigroup. If you are a person with a disability and require reasonable accommodation to apply for a career opportunity, review Accessibility at Citi. You can also view Citigroup's EEO Policy Statement and the Know Your Rights poster.,

You are a highly motivated and skilled Python Data Science Professional sought to join the dynamic Production Management AIOps team. Your main focus will be on utilizing data science techniques and Python to create innovative solutions that optimize production processes, enhance predictive capabilities, and integrate AI/ML models into operational workflows. The ideal candidate is someone who is passionate about data science, possesses a deep understanding of Python's data science ecosystem, has experience in building and deploying machine learning models, and thrives on working with large datasets in a fast-paced, collaborative setting. In this role, your responsibilities will include analyzing large and complex datasets to identify trends, patterns, and anomalies, developing and implementing machine learning models using Python libraries such as scikit-learn, TensorFlow, and PyTorch, evaluating and refining model performance to ensure accuracy and reliability, as well as deploying and maintaining machine learning models in production environments. Additionally, you will design and implement data pipelines to collect, process, and transform data from various sources, work with both structured and unstructured data to maintain data quality and integrity, and collaborate with data engineers to integrate data science solutions into existing systems. Furthermore, you will be tasked with creating clear and compelling visualizations to communicate data insights to both technical and non-technical audiences, presenting findings and recommendations to stakeholders effectively, actively participating in agile development processes, staying up-to-date with the latest advancements in data science, machine learning, and AI, and contributing to a positive and collaborative team environment by sharing knowledge and supporting colleagues. As for qualifications, you should have at least 5 years of proven experience as a Data Scientist or in a similar role with a strong focus on Python. Proficiency in Python and essential data science libraries like pandas, NumPy, scikit-learn, TensorFlow, and PyTorch is essential. You should also have experience with statistical modeling, machine learning algorithms, and data mining techniques, strong data visualization skills using libraries such as Matplotlib, Seaborn, or Plotly, familiarity with data engineering tools and techniques like SQL, Spark, and cloud-based data warehousing solutions, knowledge of version control systems like Git, and understanding of agile development methodologies. Soft skills required include excellent problem-solving and analytical skills, strong communication and interpersonal skills, ability to work both independently and as part of a team, ability to manage multiple tasks and prioritize effectively, and a passion for data science along with a desire to learn and grow. A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field is also necessary. This is a full-time position under the Technology job family group, specifically in the Systems & Engineering job family. If you are a person with a disability and require accommodation to use the search tools or apply for a career opportunity, please review the Accessibility at Citi.,

This individual plays a pivotal role within the Global Capabilities team, significantly impacting PepsiCo's business by developing, deploying, and continually supporting Market teams with core Insights on Superiority. They elevate the broader Insights function, pushing it to new horizons and enhancing efficiency through streamlined, standardized processes. By identifying connections across business needs, they ensure seamless capability integration into strategic processes, driving operational excellence. Focusing on the Superior Proposition Capability, this individual masters the art and science of being chosen by consumers. The new Proposition Testing methodology provides comprehensive diagnostic insights that can lead to product reformulation capitalizing on market opportunities. By going beyond traditional CQA, the Proposition Testing methodology offers deeper insights into Brand Equity that can retrofit the way we recommend Marketing to strengthen brand connections. Insights gathered from external vendors and internal PepsiCo experts (e.g., R&D) through the Proposition Testing methodology can lead to the redesign of product packaging, impacting on consumer preference. Additionally, this individual collaborates with Global Insights, CX, R&D and market teams to interrogate data and answer specific business questions, providing analysis and insights that inform strategic decisions. Responsibilities include developing, deploying, and continually supporting Global and Market teams with core superiority capabilities, elevating the broader Insights function by pushing it to new horizons of Insight capability, enhancing efficiency by streamlining, standardizing, and identifying connections across business needs, and ensuring products worldwide meet and/or exceed consumer expectations. Implementing the new Proposition Testing methodology to provide comprehensive diagnostic insights, enhancing understanding of Methodology and interconnections with Brand Equity, performing analysis of business and user needs, documenting requirements, mining and analyzing data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies, and assessing the effectiveness and accuracy of new data sources and data gathering techniques are key aspects of the role. Collaboration with Global Insights, CX, R&D, and market teams to interrogate data and answer specific business questions is crucial for success in this position. Qualifications required for this role include a Post Graduate Degree (MBA Preferred, Statistical background preferred), 8+ years of experience in data analytics, using custom quantitative - product, pack testing - Must have experience, experience with integrating multiple data sets and systems for integrating new incoming data efficiently, advanced Excel skills, excellent project management skills, comfort with statistical modeling, a broad range of data sources and metrics, strong analytical thinking with proven ability to connect data & to digestible representations to generate insights, structured thinker/problem solver who works independently, excellent organizational skills and attention to detail, great collaborator/team spirit, and fluency in English.,

As an Assistant Vice President for the Data Science Team at Citigroup, you will play a crucial role in driving the development and implementation of advanced analytical solutions to support key business objectives. Your responsibilities will include supporting the model validation process for Model Risk Management, developing and implementing automated solutions to manage the increasing volume of models, overseeing the development of predictive models, machine learning algorithms, and other advanced analytical techniques, and documenting data requirements, data collection, processing, cleaning, and exploratory data analysis. You will also interface between business and technology partners for digitizing data collection, offer technical guidance and support in areas such as knowledge graph development and data extraction, communicate findings and recommendations to senior management, stay current with the latest trends and technologies in data science and analytics, and ensure compliance with data governance policies and regulatory requirements. Additionally, you will work with large and complex data sets to evaluate, recommend, and support the implementation of business strategies, identify and compile data sets using a variety of tools, and develop and execute the data science and analytics strategy. To be successful in this role, you should have at least 8 years of experience in Data Science roles, a strong understanding of statistical modeling, machine learning, and data mining techniques, and proven ability to translate complex data into actionable insights. You should also have experience in developing and deploying AI solutions in partnership with Tech and Business, interacting with senior stakeholders across the organization, and managing end-to-end conceptualization and implementation of data science solutions. Additionally, you should possess AI/Gen AI proficiency, thought leadership in Financial/Business Analysis, and creative problem-solving skills. A Bachelors/University degree in STEM is required for this position, with a Masters degree preferred. If you are excited about growing your career in data science and analytics and have the necessary skills and experience, we encourage you to apply for this position at Citigroup. Please note that this job description provides a high-level review of the types of work performed, and other job-related duties may be assigned as required.,

As a Manager within the Data Science function at MX, you will lead a team of advanced analytics professionals to leverage a world-class financial data asset for performing in-depth consumer-level analytics, leading big data research projects, enhancing overall system accuracy, designing and executing operational tests, and automating repetitive tasks. Your role will involve overseeing the design and execution of operational tests, providing recommendations based on careful analysis and business acumen, and demonstrating superior problem-solving skills. You will be responsible for building, developing, and managing a high-performing team of 3-8 data scientists and analysts. Your focus will be on coaching and mentorship to enhance analytical best practices, data visualization, storytelling, and personal career development. Leading modelling projects, operational tests, data mining, and exploratory work will also be part of your duties. Additionally, you will translate unstructured business problems into well-defined analytic projects and provide analytic leadership within the MX community. To qualify for this role, you should hold a Master's degree (Ph.D. preferred) in a quantitative discipline with significant coursework in statistics or econometrics. Previous experience in building predictive models and managing analytic teams is preferred. Strong knowledge of structured programming languages, database query languages, statistical modeling, and machine learning approaches is required. Critical thinking skills, intellectual curiosity, and a drive to tackle demanding goals are essential qualities for this position. This role will require you to work in the office for a standard 40-hour workweek to facilitate collaboration, communication, quick decision-making, and spontaneous collaboration among team members. The compensation for this role will include a base salary and other forms of cash compensation. Please note that applicants applying for this position must have the legal right to work in India without the need for sponsorship. Proof of eligibility to work in India will be required as part of the hiring process.,

As a Campaign Analytics Data Scientist, you will utilize your expertise in blending marketing insight with data science to optimize campaign performance. Your primary role will involve analyzing large datasets from various marketing channels to uncover trends, measure effectiveness, and provide valuable insights for strategic decision-making. Your key responsibilities will include analyzing campaign data to identify performance trends and customer behavior, developing predictive models to forecast campaign outcomes and ROI, conducting A/B testing and multivariate experiments to refine targeting and messaging, collaborating with marketing teams to define KPIs and reporting frameworks, creating dashboards and visualizations to effectively communicate insights to stakeholders, utilizing machine learning techniques to segment audiences and personalize outreach, and monitoring real-time campaign metrics to recommend optimizations. To excel in this role, you must possess proficiency in Python, SQL, and data visualization tools such as Tableau or Power BI. A strong grasp of statistical modeling, machine learning, and data mining is essential. Experience with marketing platforms and marketing analytics is beneficial, along with the ability to translate complex data into actionable insights. Familiarity with campaign tracking tools and attribution models will also be advantageous. The ideal candidate for this position should have a minimum of 5 years of experience in Campaign Analytics, SQL, and Data Science, with a solid analytical background. If you are passionate about leveraging data-driven insights to enhance campaign performance and drive strategic decisions, we welcome you to apply for this exciting opportunity.,

Roles and Responsibilities Develop software to transform and visualize omics (genomics, proteomics, transcriptomics) data using programming languages such as Python, Java, R. Develop data processing pipelines for large datasets in the cloud (e. g. Nextflow); integrate with other data sources where applicable Collaborate with the other engineering team members to ensure all services are reliable, maintainable, and well-integrated into existing platforms Adhere to best practices for testing and designing reusable code What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a with these qualifications. Basic Qualifications: Masters degree / Bachelors degree and 5 to 9 years Software Development, IT, or related field, Must Have Skills Proficiency in code development (Python, R) and the software development lifecycle Proficient with SQL and relational databases (e. g PostgreSQL, MySQL, Oracle) Experience with command-line interface on Linux-based systems Preferred Skills 2+ years of experience in biopharma or life sciences Experience in RESTful API development e. g flask, MuleSoft Experience in pipeline development using one or more of the following programming languages (Python, Nextflow, etc) Experience with Databricks Experience with cloud computing platforms and infrastructure Experience with Application development (Django, RShiny, Ploty Dash, etc) Work experience in the biotechnology or pharmaceutical industry. Experience using and adopting Agile Framework Soft Skills: Strong learning agility, ability to pick up new technologies used to support early drug discovery data analysis needs Collaborative with good communication skills. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals.

Help design, develop, and maintain BI dashboards and reports using tools like Power BI, Tableau, or Looker. Collaborate with business, product managers, engineers, and stakeholders to define KPIs and success metrics. Translate business requirements into technical specifications for reporting and analytics Customer Insights & Experience: Develop a deep understanding of both data and related metrics to help customer with best possible representation of reports and dashboards Engage directly with customers at key touchpoints, gaining insights into their interactions with BI reports and dashboards. Build and foster an active user community, facilitating knowledge-sharing and enhancing the adoption of data and AI products. Go-to-Market (GTM) Strategy: Collaborate with Product Management to implement comprehensive GTM strategies for data and AI products. Align GTM messaging and product positioning with organizational needs, enabling effective adoption and broader applicability of solutions Support the launch of new products and features, working closely with multi-functional teams to ensure GTM plans are well-executed and drive product adoption. Support & Advocacy: Provide Last Mile Support and Solutions on Demand for both data, ensuring prompt resolution of customer challenges and delivering a seamless user experience. Assist in user onboarding and training, ensuring users fully understand how to demonstrate the platform s data capabilities. Identify and develop brand ambassadors within the customer base to advocate for the product s unique benefits. Provide targeted support for unique business requirements, enabling seamless integration of data capabilities into broader operational frameworks Product Performance & Data Analysis: Monitor and analyze product performance metrics using advanced analytics to gain insights into customer behavior and product usage. Work closely with engineering, product management, and other teams to ensure the successful execution of product goals, focusing on data, analytics, and AI-driven innovations. The insights and optimizations from product analytics will ensure alignment with overarching business goals and operational priorities, supporting scalable and impactful outcomes. What we expect of you Any degree and 8 to 13 years of experience in relevant field Basic Qualifications: 8-13 years of experience in a product analyst role, especially with BI reporting and dashboards, and a focus on GTM execution. Worked with different BI tools such as Power BI, Tableau etc. Experience of working closely with data engineering. Experience in GTM strategy development and execution, with a track record of supporting product launches and ensuring right dashboards are provided. Strong skills in Excel and hands-on experience with Agile methodologies (Scrum/SAFe). Excellent communication and social skills, with the ability to work collaboratively with cross-functional GTM, product, and engineering teams. Knows SQL. Preferred Qualifications: Have worked on BI tools previously. . Familiarity with data transformations, visualizations, AI platforms, and cloud-based data solutions. Ability to work effectively across matrixed organizations and lead collaboration between data and AI teams. Passion for technology and customer success, particularly in driving innovative AI and data solutions. Experience in services or consulting related to data and AI products is a plus, and familiarity with biotech/pharma is beneficial. Soft Skills: Excellent analytical and solving skills. Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to handle multiple priorities successfully. Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills.

We are seeking a highly analytical Data Scientist with strong proficiency in Python and SQL . You will be responsible for conducting data exploration, improving data quality, and contributing to the scaling of the SCI project by supporting data acquisition, cleansing, and validation processes. This role requires a solid understanding of data quality principles and experience with data matching techniques, including fuzzy logic, to deliver actionable insights and recommendations to stakeholders. Roles & Responsibilities: Conduct continuous data exploration and analysis to identify opportunities for enhancing data matching logic, including fuzzy logic , and improving overall data quality. Perform various analyses specifically aimed at improving data quality within the SCI system, including identifying issues and implementing solutions. Participate in weekly playback sessions, using Jupyter Notebook to demonstrate data insights and analysis. Contribute to the scaling of the SCI project by supporting data acquisition, cleansing, and validation processes for new markets. Perform thorough data analysis and validation of SCI records after batch ingestion and proactively identify insights to improve data quality. Coordinate with business stakeholders to facilitate the manual validation of records and communicate findings and recommendations clearly and effectively. Skills Required: Strong proficiency in Python and SQL . Extensive experience using Jupyter Notebook for data analysis and visualization. Working knowledge of data matching techniques, including fuzzy logic. Experience working with large datasets from various sources (Excel, databases, etc.). Solid understanding of data quality principles and methodologies. Experience with Machine Learning , statistical modeling, and algorithms is a valuable skill. Familiarity with cloud computing platforms ( AWS, Azure, GCP ) and data visualization tools ( Tableau, Power BI ) is a plus. Excellent communication, collaboration, and problem-solving skills. QUALIFICATION: Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Computer Science, or a related field, or equivalent practical experience.

As a CX Data Analyst at our company, you will play a crucial role in gathering reporting requirements and documenting processes across various CX areas such as Client Services, Service Operations, Implementation Services, and more. Your responsibilities will include analyzing business processes, making recommendations based on data analysis, and translating departmental requirements into actionable measurements and reporting tools. You will collaborate with CX leadership to identify areas of impact on reporting and processes, provide verbatim commentary on data trends, and communicate any discrepancies to ensure internal problem-solving and alignment. Your role will also involve reviewing and updating processes to align with industry standards, developing a communication strategy for trend indicators, and ensuring compliance with state and federal legislation such as HIPAA. Additionally, you will work on generating learning resources, aligning reporting changes with QA conditions, and compiling data for associate performance metrics. Embracing continuous improvement and innovation within the CX area will be a key aspect of your responsibilities. To be successful in this role, you should have a Bachelor's Degree in a related field and at least 2 years of experience in data analysis or business intelligence. Advanced proficiency in tools like Microsoft Excel, SQL, and data visualization tools such as PowerBI is required. Strong communication skills, attention to detail, and the ability to work with large data sets are essential. Experience in a fast-paced environment and knowledge of statistical analysis, database design, and agile development environments are also important. Preferred skills include experience in healthcare technology or call center operations, as well as familiarity with tools like Tableau. The work environment may require additional effort outside standard hours, and the ability to work US east coast hours is preferred. Adherence to workspace privacy guidelines and a commitment to diversity, equity, inclusion, and belonging are important aspects of our company culture. Zelis offers industry-leading healthcare benefits, mental well-being resources, savings & investments, educational resources, and opportunities for networking. We are committed to diversity and equal employment opportunities, encouraging candidates from underrepresented communities to apply. If you require accessibility support during the application process, please reach out to TalentAcquisition@zelis.com. Please note that there is an active employment scam using the Zelis name, and we never ask for money or credit card details during the recruitment process. Be cautious of any suspicious email activity and ensure that any contact from a Zelis representative is legitimate.,

As an Officer/Analyst in the Data Science team at Analytics & Information Management (AIM) in Gurugram, you will play a crucial role in developing and implementing advanced analytical solutions to support key business objectives. Your responsibilities will include supporting model validation process for Model Risk Management, developing and implementing automated solutions to manage the increasing volume of models, overseeing the development of predictive models and machine learning algorithms, and documenting data requirements, data collection, processing, cleaning, and exploratory data analysis. You will also be responsible for interfacing between business and technology partners for digitizing data collection, communicating findings and recommendations to senior management, staying current with the latest trends and technologies in data science and analytics, and ensuring compliance with data governance policies and regulatory requirements. Additionally, you will work with large and complex data sets to evaluate, recommend, and support the implementation of business strategies, and develop and execute the data science and analytics strategy. To be successful in this role, you should have at least 5 years of experience in Data Science roles, a strong understanding of statistical modeling, machine learning, and data mining techniques, and proven ability to translate complex data into actionable insights. You should also have experience in developing and deploying AI solutions in partnership with Tech and Business, interacting with senior stakeholders across the organization, and managing project planning effectively. A Bachelors/University degree in STEM is required, with a Masters degree preferred. If you are excited about leveraging your data science skills to drive substantial business results, collaborate in high-performing teams, and foster a data-driven culture, we encourage you to apply for this opportunity at Citigroup.,