For our client, we are seeking a Data Scientist to join the team of a leader in the Enterprise Technology space. This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will partner with business, technical, and operational stakeholders to build reporting, surface trends, and translate analysis into action. The position offers the opportunity to strengthen data-driven execution and help teams focus on the metrics that matter most within a technology-driven environment.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $149,000 – $187,000 annually
Responsibilities
- Collaborate with leadership to analyze historical datasets for insights
- Translate complex data into actionable insights for product strategy
- Guide ML teams in feature engineering strategies
- Ensure robust and interpretable model development
- Work with engineering teams for effective data pipelines
- Design optimal context vectors for LLM-driven systems
- Conduct data-driven empirical analysis to assess new business ideas
Qualifications
- Master's or Ph.D. in Mathematics, Computer Science, Statistics, or related field
- 5+ years of experience as a Data Scientist or Machine Learning Engineer
- Proven track record of deriving insights from large-scale datasets
- Experience in data-driven, product environments, preferably SaaS or FinTech
- Strong foundation in machine learning fundamentals and model development
- Deep expertise in feature engineering and data preparation
- Proficiency in SQL, NoSQL, and graph databases
Benefits
- Short-term and long-term incentive programs
- Robust offering of benefit and wellness plans
- Commitment to pay transparency
- Support for professional development opportunities
- Flexible work environment with potential for remote work
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.