AI Data Scientist Job at Gamma (San Francisco)

Ai Data Scientist

Hunter Douglas is the world’s leading manufacturer of window coverings and a maj...

Location

United States , Broomfield

Salary:

95000.00 - 125000.00 USD / Year

Hunter Douglas

Expiration Date

Until further notice

Requirements

Bachelor’s degree in a quantitative field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics, Operations Research, or related)
5+ years of experience in AI/ML model development, deployment, and performance optimization in a business or industrial context
Strong proficiency in Python, R, or SQL for data science and model development
Demonstrated experience with machine learning frameworks and cloud platforms (AWS, Azure, GCP)
Proven ability to design and operationalize data science solutions in real-world environments
Experience with predictive modeling, optimization, and time-series forecasting, ideally within supply chain, operations, or commercial analytics
Knowledge of data visualization and BI tools (Power BI, Tableau, or similar)
Strong problem-solving, analytical, and communication skills
Familiarity with version control (Git) and collaborative development practices

Job Responsibility

Design, develop, and deploy advanced AI/ML models and algorithms that improve operational efficiency, forecasting accuracy, and decision intelligence across the Hunter Douglas supply chain
Conduct data exploration, feature engineering, and model tuning to ensure accuracy, robustness, and business applicability
Collaborate with business stakeholders to translate complex challenges into data-driven solutions aligned with organizational goals
Monitor, retrain, and optimize models post-deployment to maintain high performance as data and business conditions evolve
Apply state-of-the-art methods such as neural networks, reinforcement learning, natural language processing (NLP), and generative AI to tackle diverse business challenges
Contribute to the AI strategy roadmap, ensuring alignment with Hunter Douglas’s digital transformation initiatives
Work with data engineers and IT to ensure efficient data pipelines, scalable infrastructure, and model deployment
Partner with internal and external technical teams, vendors, and consultants to implement and scale AI solutions
Communicate findings and insights clearly to both technical and non-technical stakeholders through visualizations, presentations, and storytelling
Stay at the forefront of AI and analytics innovation, evaluating new tools, methodologies, and technologies for potential adoption

What we offer

Annual base salary range: $95000-$125000
Bonus target range: 20%-25%
Generous benefits package including medical, dental, vision, life, disability
A company culture that prioritizes internal development and professional growth
Time off with pay
401(k) plan with a degree of employer matching
Paid parental leave
Wellness programs and product discounts

Fulltime

AI Data Scientist

Hunter Douglas is seeking a motivated and experienced Data Scientist to join our...

Location

United States , Broomfield

Salary:

95000.00 - 125000.00 USD / Year

Hunter Douglas

Expiration Date

Until further notice

Requirements

Bachelor's degree in a quantitative field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics, Operations Research, or related)
5+ years of experience in AI/ML model development, deployment, and performance optimization in a business or industrial context
Strong proficiency in Python, R, or SQL for data science and model development
Demonstrated experience with machine learning frameworks and cloud platforms (AWS, Azure, GCP)
Proven ability to design and operationalize data science solutions in real-world environments
Experience with predictive modeling, optimization, and time-series forecasting, ideally within supply chain, operations, or commercial analytics
Knowledge of data visualization and BI tools (Power BI, Tableau, or similar)
Strong problem-solving, analytical, and communication skills
Familiarity with version control (Git) and collaborative development practices

Job Responsibility

Design, develop, and deploy advanced AI/ML models and algorithms that improve operational efficiency, forecasting accuracy, and decision intelligence across the Hunter Douglas supply chain
Conduct data exploration, feature engineering, and model tuning to ensure accuracy, robustness, and business applicability
Collaborate with business stakeholders to translate complex challenges into data-driven solutions aligned with organizational goals
Monitor, retrain, and optimize models post-deployment to maintain high performance as data and business conditions evolve
Apply state-of-the-art methods such as neural networks, reinforcement learning, natural language processing (NLP), and generative AI to tackle diverse business challenges
Contribute to the AI strategy roadmap, ensuring alignment with Hunter Douglas's digital transformation initiatives
Work with data engineers and IT to ensure efficient data pipelines, scalable infrastructure, and model deployment
Partner with internal and external technical teams, vendors, and consultants to implement and scale AI solutions
Communicate findings and insights clearly to both technical and non-technical stakeholders through visualizations, presentations, and storytelling
Stay at the forefront of AI and analytics innovation, evaluating new tools, methodologies, and technologies for potential adoption

What we offer

Annual base salary range: $95000-$125000
Bonus target range: 20%-25%
Generous benefits package including medical, dental, vision, life, disability
A company culture that prioritizes internal development and professional growth
Time off with pay
401(k) plan with a degree of employer matching
Paid parental leave
Wellness programs and product discounts

Fulltime

Ai Data Scientist

Hunter Douglas is the world’s leading manufacturer of window coverings and a maj...

Location

United States , Broomfield

Salary:

95000.00 - 125000.00 USD / Year

Hunter Douglas

Expiration Date

Until further notice

Requirements

Bachelor’s degree in a quantitative field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics, Operations Research, or related)
5+ years of experience in AI/ML model development, deployment, and performance optimization in a business or industrial context
Strong proficiency in Python, R, or SQL for data science and model development
Demonstrated experience with machine learning frameworks and cloud platforms (AWS, Azure, GCP)
Proven ability to design and operationalize data science solutions in real-world environments
Experience with predictive modeling, optimization, and time-series forecasting, ideally within supply chain, operations, or commercial analytics
Knowledge of data visualization and BI tools (Power BI, Tableau, or similar)
Strong problem-solving, analytical, and communication skills
Familiarity with version control (Git) and collaborative development practices

Job Responsibility

Design, develop, and deploy advanced AI/ML models and algorithms that improve operational efficiency, forecasting accuracy, and decision intelligence across the Hunter Douglas supply chain
Conduct data exploration, feature engineering, and model tuning to ensure accuracy, robustness, and business applicability
Collaborate with business stakeholders to translate complex challenges into data-driven solutions aligned with organizational goals
Monitor, retrain, and optimize models post-deployment to maintain high performance as data and business conditions evolve
Apply state-of-the-art methods such as neural networks, reinforcement learning, natural language processing (NLP), and generative AI to tackle diverse business challenges
Contribute to the AI strategy roadmap, ensuring alignment with Hunter Douglas’s digital transformation initiatives
Work with data engineers and IT to ensure efficient data pipelines, scalable infrastructure, and model deployment
Partner with internal and external technical teams, vendors, and consultants to implement and scale AI solutions
Communicate findings and insights clearly to both technical and non-technical stakeholders through visualizations, presentations, and storytelling
Stay at the forefront of AI and analytics innovation, evaluating new tools, methodologies, and technologies for potential adoption

What we offer

Medical, dental, vision, life, disability
Internal development and professional growth
Time off with pay
401(k) plan with a degree of employer matching
Paid parental leave
Wellness programs
Product discounts

Ai Data Scientist

You'll be our first Data Scientist, turning mountains of user data and AI output...

Location

United States , San Francisco

Salary:

180000.00 - 310000.00 USD / Year

Gamma

Expiration Date

Until further notice

Requirements

3–5 years of experience as a data scientist, ideally in a product-focused or consumer tech environment
Strong statistical foundations with hands-on experience designing and analyzing A/B tests and experiments
Proficiency in Python for data analysis and SQL for querying large datasets
Experience working with large-scale data and building metrics frameworks from scratch
Ability to communicate complex technical concepts to non-technical stakeholders and influence product decisions
Curious mindset and comfort with ambiguity—excited to figure out what questions to ask, not just answer the ones given to you
Familiarity with machine learning concepts and evaluating model performance in production settings
Experience working with AI/ML products, especially LLMs or generative AI applications
Experience with modern data stack tools like dbt and Snowflake

Job Responsibility

Design and analyze large-scale A/B tests and experiments with statistical rigor to measure product impact and guide decision-making
Build dashboards and metrics frameworks that help the team understand AI model performance, user behavior, and product health
Dig into AI model outputs across different user cohorts to identify patterns, edge cases, and opportunities for improvement
Partner with engineering and product teams to define quality metrics for AI-generated content and user satisfaction
Develop statistical models and frameworks that empower product teams to make data-informed decisions independently
Investigate complex questions about feature performance, user behavior, and what drives engagement with AI-powered creation tools

What we offer

competitive equity

Fulltime

AI Data Scientist

We are seeking a highly skilled and experienced Senior Data Scientist / AI Engin...

Location

Poland , Warszawa

Salary:

Not provided

Robert Bosch Sp. z o.o.

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Data Science, or a related field. A PhD is preferred
Minimum of 5 years of experience in data science and AI engineering
Strong proficiency in programming languages like Python
In-depth knowledge of machine learning algorithms and techniques
Experience with LLMs and RAG or agent frameworks (Langchain, LLamaIndex, etc.)
Proficiency in NLP (Natural Language Processing) techniques and libraries
Strong problem-solving and analytical skills
Excellent communication and collaboration abilities
Ability to work independently and in a team environment
Strong attention to detail and ability to prioritize tasks

Job Responsibility

Collaborate with cross-functional teams to identify, understand, and solve business problems
Design, develop, and implement advanced machine learning algorithms, models, and LLM-based pipelines
Analyze large datasets to extract meaningful insights and patterns
Write production-quality code in Python, using standard software engineering best practices (git, testing, etc.)
Stay up-to-date with the latest advancements in AI, GenAI, and data science
Collaborate with software engineers to integrate AI models into production systems
Provide guidance and mentorship to junior data scientists and engineers

What we offer

Competitive salary + annual bonus
Hybrid work with flexible working hours
Referral Bonus Program
Copyright costs for IT employees
Complex environment of working, professional support and possibility to share knowledge and best practices
Ongoing development opportunities in a multinational environment
Broad access to professional trainings (incl. language courses), conferences and webinars
Private medical care and life insurance
Cafeteria System with multiple benefits (incl. MultiSport, shopping vouchers, cinema tickets, etc.)
Prepaid Lunch Card

Fulltime

AI Data Scientist

Location

United States , Fort Meade

Salary:

99000.00 - 225000.00 USD / Year

Booz Allen Hamilton

Expiration Date

Until further notice

Requirements

10+ years of experience with Data Analysis and Data Science, including integrating data feeds to display information
10+ years of experience in military or government operational level supporting cyberspace, space, or cryptologic operations
Experience with AI, ML, and data management and visualization tools with a graphical user interface, such as Python, Tableau, or Power BI
Experience in DoD Information Technology (IT), Department of Defense Information Network (DoDIN), or cyberspace tactical environment
Experience working with industry engagements, academia, and technical universities
Experience with industry and capability development companies in support of Information Warfare (IW) requirements
Experience with demonstrations, practical use applications, and drafting executive summaries with recommendations
Experience with coordinating operational requirements amongst internal and external staff and intelligence agencies
TS/SCI clearance
Bachelor’s degree in an Applied Science field

Job Responsibility

Support strategic operational design and capability development, and apply critical and creative thinking to define the nature of complex national security problems
Analyze the client’s mission and intent, organizational relationships, and purpose of proposed operations to develop strategic knowledge of the operational environment and frame mission analysis
Conceptualize and construct frameworks to explain the operational environment through visual effects and tools to better inform assigned Mission Areas
Design and shape knowledge of assigned environments to develop applicable approaches to exercises and wargaming, crises and contingencies, offensive, defensive, and combat operations
Conduct capability assessments on newer technologies such as Artificial Intelligence (AI) and Machine Learning (ML) to include risks and vulnerabilities, and adversarial parameters

What we offer

health, life, disability, financial, and retirement benefits
paid leave
professional development
tuition assistance
work-life programs
dependent care
recognition awards program

AI Data Scientist

Talan is an international consulting group specializing in innovation and busine...

Location

Poland , Warsaw

Salary:

Not provided

Talan

Expiration Date

Until further notice

Requirements

High level of English and Polish are a must

Job Responsibility

Collect, clean, and prepare data from various sources (SQL databases, APIs, files, cloud)
Perform exploratory data analysis to identify patterns, trends, and anomalies
Optimize data storage for cost and performance efficiency
Build and train machine learning models to solve business problems (e.g., classification, regression, forecasting, NLP)
Monitor the performance of deployed models and update them when quality drops
Create alert systems for data or model drift
Work closely with business teams to understand their needs and translate them into analytical/technical requirements
Present analysis results and recommendations in a way that is clear for non-technical stakeholders
Build dashboards in BI tools (e.g., Power BI, Tableau, Qlik)
Create analytical reports and technical documentation

What we offer

Smart Office Pack so that you can work comfortably from home
Training and career development
Private medical insurance
Life insurance
Possibility to be part of a multicultural team and work on international projects
Possibility to manage work-permits

Fulltime

Data Scientist – AI, LLMs & Data Pipelines

This role is for our US-based Media Analytics client account, a distributed SaaS...

Location

India , Pune

Salary:

Not provided

SRKay Consulting Group

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience as a data scientist or ML engineer, with demonstrated ownership of projects in production
Minimum of 2 years’ experience with LLM’s
Proven experience applying LLMs and generative AI to real-world business problems
Strong Linux skills – comfortable navigating and scripting in a CLI-first environment
Expert Python skills – you write clean, maintainable, tested, and efficient code
Deep experience working with OpenAI models and APIs, including prompt engineering, finetuning and evaluation
Fluent in SQL with ability to work efficiently with PostgreSQL datasets
Experience using Docker for local and production development
Proficiency with LangChain for building multi-step LLM workflows
Effective remote communication and collaboration, especially in a distributed team with meetings on US Eastern Time

Job Responsibility

LLM-led Innovation: Build and deploy LLM-powered tools and workflows that simplify analyst work, reduce errors, and accelerate delivery
Operational Transformation: Understand operational processes and create intelligent, scalable solutions that eliminate complexity and manual effort
Product Evolution: Partner with product and operations teams to infuse intelligence and automation into client-facing platforms
Client-Centric Design: Translate client pain points and product gaps into practical, data-driven AI solutions that enhance experience and outcomes
Rapid Experimentation: Prototype fast, test early, iterate often. Maintain speed without sacrificing accuracy or quality
Cross-Functional Collaboration: Work closely with engineering, product, client success, and operations teams to bring ideas to life
Own and operate data pipelines: Run, troubleshoot, and improve the scripts and workflows that move and transform our data—upgrading these to use workflow orchestration tools for robustness and automation
Work with LLMs: Fine-tune models, conduct reinforcement learning with human feedback (RLHF), and support preference-review workflows
Model evaluation & monitoring: Analyze results and report on the effectiveness of AI models and data labeling efforts using both established and novel benchmarks
Thematic extraction at scale: Help identify and surface underlying themes, narratives, and sentiment across vast media datasets

Fulltime

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Data Scientist – AI, LLMs & Data Pipelines

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