Staff Data Scientist - AI Products
Role details
Job location
Tech stack
Job description
Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.
As a Staff Data Scientist in our AI Office, you will bridge the gap between complex data science and tangible business outcomes. You are responsible for solving the challenge of identifying high-impact AI opportunities and determining their feasibility within our vast data ecosystem. By transforming large-scale structured and unstructured data into production-grade GenAI and machine learning solutions, you will ensure our AI products drive measurable value for our customers and the mission.
What Success Looks Like (Objectives)
- Partner with stakeholders to identify high-impact, feasible opportunities for the AI Office and demonstrate how data science can drive business outcomes
- Deliver production-ready machine learning models for customer segmentation, churn prediction, and lifetime value estimation to directly impact department OKRs
- Architect and deploy GenAI and LLM solutions that automate complex workflows, such as transcript analysis and compliance validation, using cutting-edge AI applications
- Lead the transformation of large-scale structured and unstructured data into actionable insights that inform product strategy and user modeling
- Collaborate with cross-functional teams to build scalable, cloud-based solutions while providing technical mentorship to elevate the team's collective expertise
- Master the art of storytelling by communicating complex models and findings to both technical and non-technical audiences via intuitive dashboards and presentations
Requirements
- You don't just design models; you champion them by balancing immediate feature requests against long-term technical health and the elimination of technical debt in production environments
- Expert-level mastery of statistical modeling and machine learning-including regression, clustering, and neural networks-with the ability to design and analyze rigorous A/B tests and controlled experiments
- Advanced proficiency in building and deploying LLM-based solutions, demonstrating a deep understanding of prompt engineering and the management of unstructured data (text and images)
- Skilled in Python and SQL for building robust data pipelines and preprocessing large-scale datasets using big data tools like Spark, BigQuery, or Redshift
- A proven ability to analyze ambiguous information, make rational judgments regarding model architecture, and take responsibility for the results in a fast-paced environment
- Strong ability to build working relationships across teams to achieve shared goals, while utilizing enterprise platforms like AWS, Databricks, or Dataiku to maintain ML systems
- Excellence in writing clearly and succinctly for diverse audiences, ensuring that technical findings are translated into an inspiring vision for stakeholders
Additional Qualifications
- Experience with enterprise-level AI governance and compliance
- Familiarity with emerging trends in multimodal AI and agentic workflows, * Bachelor's degree in Statistics, Machine Learning, Computer Science, Engineering, Mathematics, Physics, or a related quantitative field
- 6+ years of experience in data science and applied machine learning with a proven track record of delivering business impact
- Must have at least 6 years of experience with:
- Python and SQL for data science and pipeline development
- AWS or similar cloud-based enterprise platforms (Databricks, Dataiku)
- Big Data tools such as Spark, BigQuery, or Redshift
Benefits & conditions
We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits .
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.
Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.
