Senior Data Science Manager, Algorithms Job at Robinhood (Menlo Park)

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 Data Science Manager

Location

United Kingdom , London

Salary:

Not provided

Genius Sports

Expiration Date

Until further notice

Requirements

A BSc, MSc or PhD in Data Science, Mathematics, Computer Science, Computational Statistics, Machine Learning or other STEM subject
Strong leadership skills with a proven track record of successful delivery of high impact solutions to complex data science problems
Mentoring and Staff Development
Expert knowledge of probability and statistics
Expertise in a broad range of data science / machine learning algorithms (Monte Carlo simulation, neural networks, logistic regression, random forest, etc.) with a proven track record of delivering solutions to complex problems
Proficiency with Python or other scripting/programming languages (R, Matlab, etc)
Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements
Familiarity with sports rules and strategies (football, American football, basketball, tennis, ice hockey, baseball, etc.)

Job Responsibility

Lead a team of data scientists developing the next generation of Genius Sports’ market leading sports models
Oversee the implementation of predictive models across many sports
Lead your team in the development of algorithms to calculate the probabilities of sporting outcomes

Fulltime

Enterprise Data Science Senior Specialist

Act as a senior individual contributor responsible for implementing enterprise c...

Location

Egypt , Giza

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Excellent hands‑on experience with machine learning and deep learning algorithms
Strong proficiency in advanced analytics, ML, deep learning, and Generative AI (GenAI)
Minimum 4–6 years of experience in data science, AI, and analytics roles
Proven experience in building and deploying AI/ML models in production environments
Good proficiency in data visualization tools (Power BI, Tableau) to communicate insights effectively
Solid knowledge of relational databases (e.g., MySQL) for efficient data storage and querying
Experience with big data analytics frameworks, including PySpark and Spark clusters
Strong skills in data mining, feature engineering, and time‑series forecasting
Good working knowledge of Linux operating systems
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field

Job Responsibility

Translate customer and product requirements into clear data science and AI implementation tasks
Develop, train, test, and deploy ML/DL/GenAI and data pipelines aligned with customer‑specific use cases
Ensure AI components are efficient, maintainable, and production‑ready, supporting smooth integration with enterprise systems and platforms
Contribute to documentation, reproducibility, and knowledge transfer for implemented solutions
Act as a subject‑matter contributor in machine learning, AI and GenAI engineering within delivery teams
Apply best practices in feature engineering, model selection, evaluation, and optimization
Support MLOps activities such as model versioning, monitoring, retraining, and performance tracking
Participate in technical reviews, code reviews, and solution walkthroughs to maintain delivery quality
Work closely with Enterprise teams to ensure AI solutions address real customer problems and deliver measurable outcomes
Explain data science methods, assumptions, and results in a clear and structured way to technical and non‑technical stakeholders

Senior Manager - Marketing Science

As a Senior Manager of Marketing Science, you will lead a team that analyzes lar...

Location

United States , Chevy Chase, MD; New York City, NY

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

BA/BS required in Economics, Statistics, Operations Research, Mathematics, or related field
7+ years of experience programming in R or Python for the purposes of developing advanced analytical solutions, visualizations, reports, and presentations
7+ years of professional experience utilizing SQL to work in enterprise database solutions
5+ years of demonstrated experience in Marketing Science related solutions including, but not limited to: Response Modeling, Uplift Modeling, Audience List Creation and Deployment, Identity Resolution, Audience Segmentation, MMM, MTA, A/B Testing, Design of Experiments, Statistical Hypothesis Testing, Attribution, Econometric Modeling, or other applied marketing science solutions
3+ years managing a team of data scientists
Must be able to learn and apply substantial amounts of technical and procedural information, and to follow published standards and processes
Must be knowledgeable of infrastructure tools and management techniques and able to follow standards and processes
Must be able to provide systems training to team members as needed

Job Responsibility

Leads a team that analyzes large, complex datasets and identifies meaningful patterns that lead to actionable recommendations
Collaborates with cross departmental teams to define metrics, guidelines, requirements, and strategies for effective use of algorithms and data
Synthesizes data from multiple sources to enable campaign optimization
Assesses long-term strategic goals for business intelligence development
Recommends and improves program analysis procedures in SQL, Python or other languages required for specific detailed function
Conducts data studies and data discovery of new data sources or new uses for existing data sources
Research software and hardware related to handling and accessing data appropriately
Designs and implements statistical data quality procedures
Interprets and presents data findings creatively in a variety of formats and with business relevance
Manages a team for all performance related conversations, conducts hiring processes including interviewing and approving hires, counsels, and mentor’s direct reports

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Senior VP - Data Science & Modelling

Citi Analytics & Information Management (AIM) team is a global community that ob...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Minimum 15+ years of analytics experience in core model development using ML/AI/Gen AI techniques
Sound knowledge of model development stages and industry best practices in real time deployment with good understanding of pros and cons of different modelling techniques
Strong understanding of current state of the art ML/AI/Gen AI algorithms and Generative AI
Strong coding skill with experience in Bigdata environments
Strong knowledge of the pros, cons, and usage of various ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.)
Strong knowledge of Python, SQL, and Big Data
Bachelor’s degree in finance/engineering/quantitative Fields (Statistics, Mathematics)/MBA. Master’s degree preferred
Model execution and governance experience in any domain will be preferable
Proficient in proactive risk mitigation, manage project pipeline to ensure prioritization and required resourcing mix
At least 8 years of people management experience

Job Responsibility

Lead a team of data scientists responsible for working on various tools and technologies for successful development and implementation of Machine learning (ML) /AI/Gen AI models on different platforms
Mitigate fraud losses by designing and developing NextGen advanced intelligent AI or ML based platform
Analyze transaction data, understand fraud pattern, develop models with the objective of overall business goal of minimizing fraud losses as well as minimizing customer impact
Collaborate with model implementation team, responsible for model documentation, justifying questions from model risk management (MRM)
Lead and manage the entire modelling function within AIM Financial Crimes and Fraud Prevention Analytics, recruit staff, lead professional development and build an effective high performing team
Work as SME in the area of ML/Generative AI
Articulate complex AI and ML concepts in a clear manner to diverse audiences including business partners and peers
Stay abreast of the latest advancements, trends and research in AI and ML space
Provide technical leadership, mentorship, and guidance to a team of model developers
Ensuring 100% execution accuracy

Fulltime

Senior VP - Data Science & Gen AI

Citi Analytics & Information Management (AIM) team is a global community that ob...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Minimum 12+ years of analytics experience in core model development using ML/AI/Gen AI techniques
Sound knowledge of model development stages and industry best practices in real time deployment with good understanding of pros and cons of different modelling techniques
Strong understanding of current state of the art ML/AI/Gen AI algorithms
Strong coding skill with experience in Bigdata environments
Strong knowledge of the pros, cons, and usage of various ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.)
Strong knowledge of Python, SQL, and Big Data
Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field. A Ph.D. is a plus
Model execution and governance experience in any domain will be preferable
Proven track record of building and deploying generative models-based solutions in production environments particularly using RAG frameworks, few shot prompts, etc.
At least 8 years of people management experience

Job Responsibility

Lead as SME in the area of ML/AI/Gen AI
Lead a team of data scientists with primary responsibility of working on various tools and technologies for successful development and implementation of ML /AI/Gen AI models on different platforms
Provide technical leadership, mentorship, and guidance to a team of model developers
Ensure 100% execution accuracy
Customize and fine-tune existing RAG frameworks or design new RAG to meet project requirements
Provide thought leadership for all data solution that includes designing, developing, and implementing Machine Learning/AI/Gen AI solutions
Communicate complex analytical concepts and results to both technical and non-technical audiences
Establish governance frameworks for model development, deployment, and monitoring to meet MRM and Fair Lending guidelines
Continuously evaluate and improve model monitoring & governance processes
Oversee the end-to-end model development lifecycle from data collection and preprocessing to model building, validation, and deployment

Fulltime

Senior Director, Data Science

The Senior Director of Data Science will set and drive the enterprise-wide visio...

Location

United States

Salary:

135700.00 - 278300.00 USD / Year

One Call

Expiration Date

Until further notice

Requirements

Bachelor’s degree (B.A. or B.S.) in Statistics, Mathematics, Computer Science, or related quantitative field
advanced degree preferred
10+ years of experience in data science, with several years in senior leadership roles managing larger teams and enterprise-level projects
Strong problem-solving skills with an emphasis on product development and business impact
Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
Excellent written and verbal communication skills for coordinating across teams and influencing senior stakeholders
A drive to learn and master new technologies and techniques
Demonstrated ability to develop and drive strategies that enhance business performance, with proven results at the enterprise level

Job Responsibility

Set and drive the enterprise-wide data science vision, ensuring alignment with executive leadership and long-term business objectives
Architect and oversee technical strategy for all data science initiatives, championing innovation in AI/ML methodologies and platforms
Lead the design, development, and deployment of ML models, focusing on advanced techniques such as Natural Language Processing (NLP), generative AI, and automation
Own the development and governance of a modern data platform for all data consumers
Lead LLM integration projects to automate manual processes and improve operational efficiency
Stay current with emerging technology trends and represent the organization in external forums, conferences, and industry groups
Collaborate with senior leaders across IT, Product, Operations, Marketing, and other business units to identify and execute high-impact, cross-functional data initiatives
Drive AI solutions for automation, decision intelligence, and enhanced customer experience
Translate complex data insights into actionable business strategies and measurable outcomes
Manage larger, multi-disciplinary teams, mentoring and developing future leaders within the data science organization

What we offer

Remote Work: We are a remote-first company, and almost all positions receive the flexibility of working from home
Generous Time Off: Besides 8 company holidays and 2 personal days every year, all colleagues receive a minimum of 18 days of paid time off
Comprehensive Benefits Package: Including medical, dental, vision, and pet insurance
401(k) matching program
and company-paid life insurance and short and long-term disability coverage
Supportive Services: We offer a Colleague Assistance Program that provides free counseling and financial services, and our One Call Foundation, a non-profit arm of our company, provides colleagues financial assistance during times of unexpected hardships

Fulltime

Senior Data Scientist, Algorithms - Identity

The Identity Data Science team aims to help create the most trusted community in...

Location

United States

Salary:

177000.00 - 208000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

5+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (computer science, statistics, economics, etc.), or 2+ years of experience with a Ph.D.
State-of-the-art knowledge of AI/ML models
Strong knowledge of causal inference
Skilled in statistical programming (Python or R) and database usage (SQL)
Proven ability to communicate clearly and effectively to audiences of varying technical levels
Ability to translate complex findings and results into compelling narratives that drive impact
Excellent project management, communication, and collaboration skills

Job Responsibility

Improve on industry standards in identity verification by leveraging biometrics, NFC chips, Apple/Google integrations, and other advancements in identity verification technologies
Build high-performing statistical models for detecting identity fraud, such as computer vision models for identifying fake or tampered images, LLMs for surfacing suspicious user account attributes, or graph-based models for uncovering hidden clusters of bad actors
Automate and optimize human-in-the-loop ML processes for classifying fraud and generating other labels of interest for model training and evaluation
Deploy a real-time anomaly detection system for quickly identifying emerging threats across regions, cohorts, and platforms
Design intelligent sampling jobs for estimating rare events prevalence and other hard-to-measure metrics like recall and false positive/negative rates
Build and deploy production AI/ML models for detecting identity fraud and improving Airbnb’s identity verification systems (feature engineering, model development + evaluation, threshold selection, error analysis, model lifecycle management)
Conduct experiments and lead quantitative analyses for measuring impact, surfacing critical gaps, and identifying opportunities for improvement
Develop methodologies and frameworks for analyzing the tradeoffs associated with new interventions and propose strategies for optimizing impact
Deliver robust research reports with effective data visualizations, clear storytelling, and bullet-proof accuracy to drive forward impact in collaboration with cross-functional partners in product, engineering, and operations
Think strategically about opportunities to improve and scale our identity verification processes and defenses

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

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Senior Data Science Manager, Algorithms

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