Grid Dynamics · 19 hours ago
Senior Data Scientist
United States
Full-time
Remote
Senior Level
5+ years expGrid Dynamics is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. The ideal candidate will be responsible for developing and implementing advanced machine learning models and algorithms to solve complex business problems, collaborating with cross-functional teams to deliver data-driven solutions.
Big DataCloud ComputingMobile AppsOutsourcingSoftware Engineering
Responsibilities
Develop and implement advanced machine learning models and algorithms to solve complex business problems
Design and optimize scalable data pipelines and machine learning workflows on cloud platforms
Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions
Participate in exploring new methodologies and techniques in data science
Communicate findings and insights to stakeholders in a clear and actionable manner
Contribute to the development of data governance policies and best practices
Perform data analysis, reviewing and optimizing algorithms, ensuring adherence to best practices, and collaborating with the Data Science team to identify and address analysis issues
Maintain the data infrastructure, participating in architectural discussions, and ensuring that the infrastructure aligns with the overall design, scalability, and security goals
Qualification
Required
5+ years in a quantitative role (data science, product analytics, or experimentation) in high-growth or fintech environments
5+ years of experience in applied data science, with deep hands-on exposure to forecasting, predictive modeling, or marketplace systems
Fluency in with a track record building time series modelings and forecasting
Experience building product metrics from scratch and operationalizing them for decision-making
Excellent communication skills with PMs, engineers, risk/finance partners, and executives
Strategic instincts beyond significance tests—clear thinking about tradeoffs (conversion vs. risk vs. cost vs. user experience)
Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research)
Expertise in time-series forecasting techniques and practical understanding of model trade-offs across performance, explainability, and scalability
Proficiency in Python, SQL, and tools such as scikit-learn, PyTorch/TensorFlow, and forecasting libraries
Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments
Strong communication and storytelling skills - able to simplify complexity and influence executive stakeholders
Self-directed, intellectually curious, and comfortable leading ambiguous projects from 0→1
Benefits
Medical insurance
Vision
Dental
Corporate social events
Professional development opportunities
Well-equipped office
Company
Grid Dynamics
Grid Dynamics is a provider of in driving enterprise-level digital transformation solutions.
1001-5000 employees
H1B Sponsorship
Grid Dynamics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (40)
2024 (29)
2023 (12)
2022 (12)
2021 (1)
Funding
Current Stage
Public CompanyTotal Funding
$124.5MKey Investors
Benhamou Global Ventures
2024-11-12Post Ipo Equity· $108M
2020-03-06IPO
2019-05-31Series Unknown· $15M
Leadership Team
Ilya Katsov
CTO, Americas
Rahul Bindlish
Senior Vice President, Global Partnership & Marketing
Recent News
2025-12-09
2025-10-31
Company data provided by crunchbase