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

Data Science Group Manager

The Applications Development Technology Senior Lead Analyst is a senior level po...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

At least 10+ years of relevant experience in an Apps Development role or senior level experience within Data analytics/ML space
At least 3+ years of experience applying AI to practical uses, experience with deep learning, NLP and Tensorflow
Proficiency in Scala, Python, and other language or domain-specific packages as well as Big Data Eco system
Exhibit expertise in all aspects of technology by understanding broader patterns and techniques as they apply to Citi’s internal and external cloud platforms (AWS, PCF, Akamai)
Acquire relevant technology and financial industry skills (AWS PWS) and understand all aspects of NGA technology – including innovative approaches and new opportunities
Strong communication skills, e.g. ability to translate business use cases to tech specs, working with diverse project teams, and developing relationships with vendors
Analyze complex business processes, system processes, and industry standards to define and develop solutions to high level problems
Allocate work, and act as an advisor/coach developers, analysts, and new team members
Provide expertise in area of advanced knowledge of applications programming and plan assignments involving large budgets, cross functional project, or multiple projects
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Job Responsibility

Lead the Data Science functions regionally to meet goals, deploy new products, and enhance processes
Serve as a functional SME across the company through advanced knowledge of algorithms, data structures, distributed systems, networking, use of knowledge and experience to lead, architect, and drive broader adoption forward

Fulltime

Manager of Data Science

The Manager of Data Science will lead a dynamic team of data scientists responsi...

Location

United States , Chicago

Salary:

84836.00 - 153548.75 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Master's Degree Data Science, Computer Science, Statistics, Mathematics, or related quantitative field
7+ years Experience in data science or analytics roles
3+ years Experience leading technical teams and employees, either through direct People Management or through projects
Demonstrated success with agentic workflows and GenAI in data science product solutions
Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation)
Excellent understanding of machine learning techniques and algorithms, such as decision trees, RF, XGBoost, LightGBM, etc.
Advanced skills in programming and coding, data science toolkits, and query languages (e.g., Python, R, SQL, and Java)
Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server
Knowledge and familiarity with Power BI, Tableau, or comparable reporting and visualization platforms
Advanced applied statistics skills, such as distributions, statistical testing, regression, etc.

Job Responsibility

Manage, mentor, and develop a dynamic team of data scientists with diverse technical backgrounds
Develop and execute on projects and initiatives on the data science roadmap that align with business objectives
Collaborate with business leaders, key stakeholders, and cross-functional teams to identify high-impact opportunities for advanced analytics and translate business challenges into data science solutions
Lead and support various projects and initiatives, regularly managing competing priorities, deadlines, and expectations
Oversee the development of machine learning models, statistical analyses, and predictive algorithms
Drive innovation in modeling techniques, tools, and methodologies. Drive continuous improvement in team processes and methodologies
Ensure model quality, performance, and reliability through robust validation and testing frameworks
Establish best practices for model lifecycle management, including deployment, monitoring, and maintenance
Facilitate knowledge transfer and communicate complex technical concepts to non-technical audiences
Translate analytic findings into simple, actionable, and practical solutions and recommendations

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

Senior Data Science Analyst

The Data Science Senior Analyst is a seasoned professional role. Applies in-dept...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5-8 years experience in business and data analysis, process improvement and project management
Ability to effectively use complex analytical, interpretive and problem solving techniques
Demonstrated interpersonal, verbal and written communication skills
Methodical attention to detail
Experience using tools for statistical modeling of large data sets
Hands on coding experience with Python, SQL is mandatory (proficiency with Libraries such as Pandas, NumPy required)
Experience using tools for statistical modeling of large data sets
Expert background in utilizing SQL/Python to extract, manipulate, and analyze datasets
Preferable experience with tools such as Tableau, PySpark, Airflow, Git, JIRA and Confluence
Experience in Data Modelling, ETL technologies, Data pipeline

Job Responsibility

Developing and implementing advanced analytical models and solutions
Strong coding skills:Proficiency in Python, PySpark, and SQL for data analysis and model development
Big data expertise:Working knowledge of big data platforms like Cloudera and Databricks
Model development:Experience in building and deploying machine learning and AI models
Generative AI knowledge:Familiarity with generative AI techniques and their applications
Collaboration:Working with cross-functional teams to identify opportunities and deliver data-driven insights
Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
Consults with business clients to determine system functional specifications

What we offer

Extensive on-the-job training and exposure to senior leaders
More traditional learning
Opportunity to give back and make a positive impact through volunteerism

Fulltime

Senior Engineering Manager - AI/ML

Hewlett Packard Enterprise is looking for a Senior Engineering Manager - AI/ML t...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, engineering, data science, artificial intelligence, machine learning, or closely related quantitative discipline
7-15 years’ experience including 5 or more years of people management experience
Advanced Degree (Master’s or Ph.D.) strongly preferred
Strong problem-solving and analytical skills, with the ability to identify business opportunities, formulate strategies, and execute projects effectively
Excellent communication and presentation skills, with the ability to convey complex technical concepts to technical and non-technical stakeholders
Proven ability to manage multiple projects and priorities in a fast-paced environment, ensuring timely delivery and high-quality results
Experience with cloud platforms, big data technologies, and distributed computing frameworks is a plus
Strong understanding of data privacy, security, and ethical considerations in AI and machine learning
Strong technical expertise in AI and machine learning algorithms, models, and tools, with proficiency in programming languages such as Python or R
Demonstrated leadership and management skills, with experience in leading and mentoring AI and machine learning professional teams.

Job Responsibility

Develop software algorithms to structure, analyze and leverage structured and unstructured data
Use machine learning and statistical modeling techniques to improve product/system performance, data management, quality, and accuracy
Apply, optimize, and scale deep learning technologies and algorithms
Document procedures for installation and maintenance
Perform testing and debugging
Define and monitor performance metrics
Translate customer requirements and industry trends into AI/ML products and systems improvements
Develop and drive the organization’s AI and machine learning strategy
Identify new opportunities for AI and machine learning applications
Oversee complex AI and machine learning projects from conception to deployment

What we offer

Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing
Personal and professional development programs
Career growth opportunities
Inclusive work environment.

Fulltime

Senior Machine Learning Manager

At Atlassian, we are seeking a Senior Machine Learning Manager to lead our Knowl...

Location

United States , San Francisco

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

5+ years of experience managing machine learning engineering teams
Proven track record of building and scaling machine learning models in business applications using large datasets
Experience with knowledge graph technologies, search algorithms, or conversational AI is a plus
Strong technical expertise in machine learning, data science, and system design
Excellent communication skills to explain complex concepts to diverse audiences
Agile mindset with a focus on iterative development and continuous improvement
A Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field.

Job Responsibility

Oversee a team of machine learning engineers, fostering a culture of innovation, collaboration, and excellence
Mentor and coach team members on best practices, technical skills, and career development
Hire, onboard, and retain top talent to build a high-performing team
Manage the end-to-end machine learning lifecycle, including data collection, preprocessing, model development, deployment, and monitoring
Research and implement novel machine learning techniques to improve the performance, scalability, and robustness of search, chat, and agent systems
Collaborate with product managers, data scientists, and other stakeholders to align machine learning solutions with business goals
Define and execute the vision and strategy for the Knowledge Graph Team
Influence the strategic direction of machine learning initiatives across Atlassian's products
Ensure timely delivery of high-quality solutions that meet customer needs
Work closely with the AI platform team, federated product teams, and other engineering teams to integrate machine learning solutions seamlessly

What we offer

Health coverage
Paid volunteer days
Wellness resources.

Fulltime

Senior Data Scientist

Join Our Expert Team. We are seeking a skilled Senior Data Scientist to join our...

Location

Austria , Vienna

Salary:

Not provided

Arsenalia

Expiration Date

Until further notice

Requirements

Minimum 3 years of experience as a Data Scientist or in a similar role
Strong skills in programming languages such as Python
Experience in developing and optimizing machine learning models
Knowledge of prompt engineering techniques for natural language models
Ability to analyze large datasets and extract valuable insights
Team-oriented mindset and effective communication with clients
Curiosity and interest in emerging technologies
Good command of English (B2 level)
Flexibility in adapting to new contexts and diverse projects
Availability for short- and medium-term business travel

Job Responsibility

Design and optimize predictive models, machine learning and deep learning algorithms
Collaborate with clients to define needs and deliver data-driven solutions
Implement data-based solutions with Azure Databricks, Microsoft Fabric, and Azure Machine Learning
Contribute to R&D initiatives to advance analytical techniques
Create reports and visualizations to communicate insights effectively
Analyze large datasets to extract valuable information
Use Microsoft tools like SQL Server and Azure SQL Database for data management and analysis
Develop and refine prompts for LLMs/SLMs to enhance AI solution performance
Extract insights from big data using Azure Data Lake and Azure Synapse Analytics
Grow in a dynamic, collaborative environment with skilled and motivated teammates

What we offer

Welfare Package
Worklife Kit
Empowering People
Open Space, Open Mind
Career Path
Learning & Development

Data Science Lead

The Data Science Lead is a strategic professional who stays abreast of developme...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

MBA or Advanced Degree Information Systems, Business Analysis / Computer Science
10+ years experience using tools for statistical modeling of large data sets
Proficient in data handling suites PYTHON, Spark, R, HIVE, SAS, SQL, or similar packages
Strong ability to extract strategic insights from large data sets
Experience in Design and implementation of machine learning models and algorithms to solve complex business problems with exposure to machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
Adept at using Statistical (like forecasting/modeling, data analysis, regression/optimization models), Machine Learning (GBM, Decision Trees etc.) & AI techniques (Deep Learning)
Strong aptitude, ability, motivation, and interest in placing quantitative analysis in the context of Finance/risk domain and/or business economics
Experience in working on Visualization tools like Tableau, POWER BI, etc.
Skilled core python developer with extensive development expertise in building the high scaled and performant software platforms for data computation and processing
Expert level knowledge of core python concepts and libraries such as pandas, NumPy and SciPy and well versed with OOPs concepts and design patterns

Job Responsibility

Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
Consults with business clients to identify system functional specifications
Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business goals
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
Leads system change process from requirements through implementation
provides user and operational support of application to business users
Formulates and defines systems scope and goals for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards

Fulltime

Senior Machine Learning Engineering Manager

Atlassian is looking for a Senior Machine Learning Engineering Manager to join o...

Location

United States , Seattle; Austin; New York; Washington DC

Salary:

190300.00 - 305600.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Master or PhD in a quantitative subject (Computer Science, Mathematics, Statistics, Operations Research, or relevant work experience)
5+ years of experience managing machine learning engineering teams running core services at scale
Experience building and scaling machine learning models in business applications using large amounts of data
Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
Focus on business practicality and the 80/20 rule
very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
Agile development mindset, appreciating the benefit of constant iteration and improvement

Job Responsibility

Manage the end-to-end machine learning lifecycle, from data collection and preprocessing, to model development and deployment, to evaluation and monitoring
Research and implement novel machine learning techniques and algorithms that can improve the performance, scalability, and robustness of our Recommendation system, and other AI/ML models
Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation
Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Senior Data Science Manager, Algorithms

Robinhood

Location:
United States , Menlo Park

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 18, 2026

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Senior Data Science Manager, Algorithms

Robinhood

Location:United States , Menlo Park

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Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:February 18, 2026

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Job Posted:
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