Senior Data Science Manager Job at Genius Sports (London)

Senior Manager, Data Science

The Walmart Last Mile team is shifting from reactive tracking to proactive resol...

Location

United States , Bentonville

Salary:

110000.00 - 220000.00 USD / Year

Walmart

Expiration Date

Until further notice

Requirements

Expert-level fluency in Python and SQL
Strong hands-on experience with PySpark
Advanced proficiency with Git management
Experience writing and enforcing Unit Tests (pytest/unittest) and Integration Tests
Experience implementing monitoring solutions to detect Data Drift and Model Decay in production
Ability to apply causal frameworks to observational data
Deep knowledge of time-series modeling and outlier detection methods
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field.

Job Responsibility

Architect the System Strategy: Define the end-to-end framework for our proactive agent, deciding how we integrate Anomaly Detection, Causal Inference, and Forecasting into a cohesive system
Lead Code Quality & Reviews: Act as the gatekeeper for the codebase
Model Observability: Design and implement ML Monitoring frameworks to track model performance, data drift, and concept drift in real-time
Technical Mentorship: Lead the team through design docs and methodology selection
Drive Causal Innovation: Spearhead the application of Causal AI
Hands-On Development: Write high-performance Python and PySpark code

What we offer

Medical, vision and dental coverage
401(k)
Stock purchase
Company-paid life insurance
PTO (including sick leave)
Parental leave
Family care leave
Bereavement
Jury duty
Voting

Fulltime

Senior Manager, Data Science - Cash Flow Underwriting

Data is at the center of everything we do. As a startup, we disrupted the credit...

Location

United States , McLean, Virginia; New York, New York; Chicago, Illinois

Salary:

Not provided

Capital One

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
At least 2 years of experience leveraging open source programming languages for large scale data analysis
At least 2 years of experience working with machine learning
At least 2 years of experience utilizing relational databases

Job Responsibility

Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Flex your interpersonal skills to translate the complexity of your work into tangible business goals

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Health, financial and other benefits that support your total well-being

Fulltime

Senior Manager, Data Science - Model Risk Office

Senior Manager, Data Science - Model Risk Office Data is at the center of every...

Location

United States , McLean, Virginia; Richmond, Virginia; Riverwoods, Illinois; New York, New York

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
At least 2 years of experience leveraging open source programming languages for large scale data analysis
At least 2 years of experience working with machine learning
At least 2 years of experience utilizing relational databases

Job Responsibility

Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Flex your interpersonal skills to translate the complexity of your work into tangible business goals

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Senior Manager, Data Science - Inventory Capabilities

We’re looking for a Sr. Manager Data Scientist to join Walmart’s Inventory Capab...

Location

United States , Bentonville

Salary:

110000.00 - 220000.00 USD / Year

Walmart

Expiration Date

Until further notice

Requirements

Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field.
Strong expertise in applied data science and advanced analytics (optimization, forecasting, simulation, machine learning)
Comfortability operating at both strategic and technical depth — from building models to influencing enterprise priorities
Experience simplifying complex science for senior leaders and business partners to drive adoption and decision-making
Ability to excel in ambiguous, high-pressure environments with multiple stakeholders and competing priorities
A passion for solving global-scale inventory optimization challenges that directly improve customer experience
MBA, MS, or PhD in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Operations Management, or Supply Chain Management
Experience implementing data science models using modern programming languages (e.g., Python, PySpark, R) and using large dataset mining tools (e.g., SQL)
Experience with advanced analytical modeling tools, network optimization, and long-range planning
Extensive experience or knowledge of eCommerce, retail and supply chain domains and related information systems — search, impressions, conversion, distribution/transportation, sourcing, planning, manufacturing, and inventory management

Job Responsibility

Applied Research: Analyze large-scale datasets to refine model inputs (forecasts, cost structures, constraints) and improve accuracy and scalability
Model Development: Design and deliver new models and algorithms across forecasting, placement, inventory targets, safety stock, and exits to optimize cost, speed, and customer experience
Optimization & Machine Learning: Apply advanced techniques in optimization, probabilistic forecasting, and ML to improve efficiency and resilience across Walmart's global network
End-to-End Execution: Lead projects from framing business problems, to building and validating models, to partnering with engineering for deployment
Collaboration & Influence: Translate science into strategy, working with Merchandising, Supply Chain, and Tech partners to align on priorities and deliver measurable impact
Future-Focused Capabilities: Advance scenario modeling, dynamic inventory placement, multi-echelon optimization, and placement orchestration for omni-channel fulfillment

What we offer

competitive pay
performance-based bonus awards
medical
vision
dental
401(k)
stock purchase
company-paid life insurance
PTO (including sick leave)
parental leave

Fulltime

Senior Manager, Data Science & Analytics

Senior Manager, Data Science & Analytics in the Customer, Digital & Marketing sp...

Location

Ireland , Dublin

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Master's degree required (Ph.D. preferred) in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, or a related analytical discipline
8+ years of experience in data and analytics, including 3+ years in leadership roles driving large-scale projects, ideally within retail or customer/digital/loyalty domains
Extensive experience with data & analytics approaches such as exploratory data analysis, descriptive analytics, hypothesis testing, and A/B testing, as well as Agile development methodologies
Proficiency in programming languages such as Python, SQL, and R, along with hands-on experience on cloud-based platforms (e.g., Azure, Snowflake, Databricks)
Solid working knowledge of data engineering workflows including ETL processes, real-time and batch processing, model deployment, and version control best practices
Proven track record of delivering measurable results from customer loyalty programs in large retail environments
Ability to translate data, analytics, and AI/ML insights into actionable business strategies and outcomes, supported by a strong commercial mindset
Demonstrated ability in talent acquisition, team development, coaching, and mentoring
Excellent communication skills with the ability to clearly articulate technical information to all levels of the organization and collaborate effectively with cross-functional teams
Strong stakeholder management skills, with experience engaging diverse teams and senior leaders across geographies and managing multiple projects with clear prioritization and timeline communication

Job Responsibility

Collaborate with business stakeholders and digital product teams to define business requirements, KPIs, and acceptance criteria for customer loyalty and marketing analytics initiatives
Act as a data-driven thought partner to Loyalty and Marketing teams, providing analytical support and challenging priorities based on insights
Develop and own Customer Analytics Strategic Roadmap aligned with company goals, serving as the key decision maker for all Loyalty & Customer Data initiatives
Lead the design, development, and deployment of advanced analytics and AI/ML models to optimize customer segmentation, personalization, loyalty programs, and promotions
Oversee the end-to-end analytics and data science workflow including data preprocessing, feature engineering, model training, validation, deployment, and evaluation (e.g., A/B testing)
Partner with Marketing, Digital, Operations, and Technology to ensure robust data pipelines, scalable model deployment, and data-driven decision making
Enhance agility by proactively identifying and remediating data issues
Present actionable insights and recommendations to senior leadership to influence business strategies and continuously enhance the value generation from loyalty programs
Recruit, mentor, and lead a high-performing team, fostering a culture of continuous learning, innovation, and diversity
Provide guidance on career development, resource allocation, and recruitment for analytics talent

What we offer

Complete benefits packages (health insurance, pension contribution etc.)
Possibility of enrolling in stock purchase plan
Employee discount on fuel
Learning opportunities to develop new skills and to evolve professionally in a fast-growing company

Fulltime

Senior Manager, Data Science and AI Technical Product Owner

Do you want to make a global impact on patient health? Do you thrive in a fast-p...

Location

Mexico; Costa Rica , Mexico City; San Jose

Salary:

Not provided

Pfizer

Expiration Date

Until further notice

Requirements

Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)
7+ years of work experience in data science, analytics, engineering, or product management for a diverse range of projects
2-3 years of hands-on product management experience
2+ years of hands-on software development experience, preferably in a cloud environment such as AWS
Track record of managing cross-functional stakeholder groups and effecting change
Clearly articulates expectations, capabilities, and action plans
actively listens with others’ frame of reference in mind
appropriately shares information with team
favorably influences people without direct authority
Clearly articulates scope and deliverables of projects

Job Responsibility

Partner with other leaders to define team roadmap and drive impact by providing strategic and technical input including platform evolution, vendor scan, and new capability development
Communicate value delivered through industrialized AI/ML assets to end user functions (e.g., Chief Marketing Office, PBG Commercial and Medical Affairs) and partner to ideate, design, and implement industrialized assets that can be scaled across markets, brands, and TAs
Partner with Commercial Data team to integrate industrialized assets into enterprise-level analytics data products where appropriate
Partner with Platforms team on continuous development and end to end capability integration between OOB platforms and internal engineered components (API registry, ML library / workflow management, enterprise connectors, AI reusable components)
Performance and resource optimization of managed pipelines and models
Lead the advancement of at scale “industrialized” AI and data science capabilities and industrialized asset products
Own vision and maintain a holistic and consistent roadmap for data science and AI products, including data science workflows, AI based software solutions, and AI components
Provide the voice of the user as the product owner on agile product development teams to maximize value and impact of industrialized data science and AI products
Drive adoption of products through user community engagement (e.g., roadshows, training sessions, knowledge sharing etc.)
Develop and maintain business-facing assets documentation/communication for data science and AI products (e.g., value proposition, catalog, and adoption metrics)

Fulltime

Senior Manager, Data Science - LLM Customization Team

Senior Manager, Data Science - LLM Customization Team. AI Foundations LLM Custom...

Location

United States , New York; McLean; San Jose

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree plus 7 years of experience in data analytics
Master’s Degree plus 5 years of experience in data analytics
PhD plus 2 years of experience in data analytics
At least 3 years’ experience in open source programming languages for large scale data analysis
At least 3 years’ experience with machine learning
At least 3 years’ experience with relational databases

Job Responsibility

Partner with a cross-functional team to deliver AI powered products
Leverage a broad stack of technologies to reveal insights
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs)
Build NLP models through all phases of development
Flex your interpersonal skills to translate the complexity of your work into tangible business goals

What we offer

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Fulltime

Senior Manager, Data Science - AI Foundations

Senior Manager, Data Science - AI Foundations. Data is at the center of everythi...

Location

United States , McLean; New York; San Jose

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining a Bachelor's Degree in a quantitative field plus 7 years of experience performing data analytics
Currently has, or is in the process of obtaining a Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 5 years of experience performing data analytics
Currently has, or is in the process of obtaining a PHD in a quantitative field plus 2 years of experience performing data analytics
At least 2 years of experience leveraging open source programming languages for large scale data analysis
At least 2 years of experience working with machine learning
At least 2 years of experience utilizing relational databases

Job Responsibility

Partner with a cross-functional team to deliver AI powered products that change how developers write software
Lead cutting-edge research and development in Generative AI (GenAI) to enhance conversational AI capabilities and build scalable, futuristic digital assistant solutions
Fine-tune advanced Large Language Models (LLMs) for domain-specific conversational applications, inference optimization, and multi-agentic workflows
Leverage a broad stack of technologies — Python, AWS, Pyspark, LangChain, LangGraph, HuggingFace Transformers, vLLM and VectorDBs, and more
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business specific applications and features
Drive innovation by designing, training, evaluating, and deploying state-of-the-art NLP models, partnering with engineering teams to integrate them into scalable and resilient production systems
Translate complex AI/ML research into tangible business outcomes, improving customer experience through real-time, intelligent digital assistance

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

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Senior Data Science Manager

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