Senior Data Scientist

Namely; Mountain View (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Namely is looking for a skilled Senior Data Scientist/Engineer in Mountain View, California. The successful candidate will leverage data to solve complex business problems and contribute to the team's success. Responsibilities include designing dashboards, building machine learning models, and optimizing data workflows using Snowflake.

Qualified applicants should have 6+ years of experience in data domains, proficiency in Python or R, and expertise in data analysis. A Bachelor’s degree in a related field is essential.

Qualifications

• 6+ years of hands-on experience in data analysis, engineering, and visualization.
• Demonstrated expertise in BI, data science, and deployment of AI/ML models.
• Strong experience with Snowflake, including Snowflake Cortex and Snowpipe.

Responsibilities

• Partner across business functions to drive actionable insights.
• Design and develop dashboards, analytics pipelines, and machine learning models.
• Mentor junior team members on delivery quality and reliability.

Skills

Communication skills

Data analysis

Machine learning

Snowflake expertise

Python or R proficiency

Education

Bachelor’s degree in Computer Science, Data Science, or related discipline

Tools

Snowflake

Python

R

dbt

Airflow

Job description

We are searching for a skilled Senior Data Scientist/Engineer to help fuel our team's data-driven impact. The ideal candidate is passionate about leveraging data to solve complex business problems, has hands‑on experience across the modern data engineering and data science stack, and contributes as a dependable, collaborative team member.

Responsibilities

• Partner across business functions to drive actionable insights and impactful data solutions through clear communication and storytelling.
• Design and develop comprehensive dashboards, analytics pipelines, and machine learning models to support critical business objectives.
• Implement and optimize data workflows using Snowflake (including features like Cortex, Intelligence, Horizon, and Snowpipe).
• Build and deploy machine learning models using Python and relevant frameworks, focusing on applications such as predictive analytics, recommendation engines, and automation.
• Collaborate with engineering and analytics teams to drive experimentation, feature engineering, model evaluation, and deployment processes.
• Write scalable and efficient SQL to analyze and transform data; construct trusted datasets and data products in Snowflake.
• Build and deploy workflow automations using Python.
• Mentor junior team members, review their work, and ensure delivery quality and reliability.
• Translate evolving business requirements into effective data solutions to enable strategic and tactical decision making.
• Champion data quality and governance, addressing issues proactively and maintaining high data standards.
• Empower business users to access data and insights through modern self-service tools.

Qualifications

• Excellent communication skills; experience collaborating across business and technical teams.
• Demonstrated expertise in BI, data science, and deployment of AI/ML models in business environments.
• 6+ years of hands‑on experience in data analysis, engineering, and visualization.
• 2+ years of strong hands‑on experience with Snowflake, including in-depth exposure to Snowflake Cortex, Snowflake Intelligence, Horizon, and Snowpipe.
• Proficiency with Python and/or R for data analysis, model building, and pipeline automation.
• Certification in Snowflake or AI/ML technologies is a plus.
• Familiarity with MLOps, cloud platforms, and deploying ML models at scale.
• Solid understanding of data warehousing, ETL processes, and building scalable data products.
• Exposure to various tools across the modern data engineering and data science ecosystem.
• Bachelor’s degree in Computer Science, Data Science, or a related discipline (advanced degrees or relevant certifications add an advantage).
• A dependable attitude—committed, collaborative, and motivated to help the team succeed.

Additional Skills

• Skills in dbt, Fivetran, Airflow, or similar ETL/data orchestration tools.
• Exposure to predictive analytics in domains such as customer analytics, finance, customer service, or revenue modeling.
• Familiarity with GenAI, LLMs, or vector databases for innovative enterprise use cases.