Senior Data Scientist

At Podium, our mission is to arm every local business with a complete platform and outcome-driven AI employees that convert leads into real, paying customers. Every day, millions of workers use our AI lead conversion and communication platform to help them get more leads and make more money.

Our work and focus on helping local businesses thrive has been recognized across the industry, including Forbes’ Next Billion Dollar Startups, Forbes’ Cloud 100, the Inc. 5000, and Fast Company’s World’s Most Innovative Companies.

At Podium, we believe in fostering a culture that thrives on hiring and developing exceptional talent. Our operating principles serve as a compass, guiding daily behavior and decision-making, and ensure we hire people who will thrive at Podium. If you resonate with our operating principles and are energized by our mission, Podium will be a great place for you!

Podium’s Analytics and Data Science team generates insights that shape the future of our products, operations, and customer relationships. We are seeking a highly motivated and analytically adept Data Scientist with strong statistical foundations to join our team. In this role, you will collaborate closely with cross-functional teams, and use your advanced analytical expertise to uncover valuable insights from complex datasets. You’ll develop analytical models used to create actionable strategies that contribute to our overall business growth. 

What you will be doing:

• Work closely with internal business stakeholders, leveraging statistical and analytical concepts to answer key business questions pertaining, but not limited to: customer churn, clustering customers, and other machine learning projects.
• Be able to assess when questions can be answered quickly with simple analysis versus needing to build out more robust analysis solutions. 
• Researching, designing, implementing, and deploying full-stack scalable data analytics vision and machine learning solutions to challenge various business issues.
• Attacking Podium’s most critical business problems, identifying solutions, and partnering with technical and operational teams to create business value
• Synthesizing large volumes of data from various sources to develop targeted insights using repeatable and scalable techniques

Examples of Potential Projects

• Using complex finance and product data, create analytical models to identify which customers are at risk of churning
• Leverage LLMs as necessary to analyze unstructured text data
• Provide insights around product usage, so we can help our customers more effectively use our product

What you should have:

• 4+ years of relevant experience with a Masters degree in data science, statistics or related field. 
• 2+ years of relevant experience in BizOps, product, customer analytics,, or any other related field.
• On the job experience working within data science capacity within a fast-paced and complex business setting.
• Proven ability to convert data to insight and communicate why it matters, both verbally and in writing.
• Extensive experience working on strategy or full-life cycle data science with tech/programming languages such as Python, R, git, DBT, Databricks/Snowflake.
• Expert understanding of SQL and core statistical concepts.

BENEFITS

• Open and transparent culture 
• Life insurance, long and short-term disability coverage
• Paid maternity and paternity leave
• Fertility Benefits
• Generous vacation time, plus three 4-day summer holiday weekends
• Excellent medical, dental, and vision benefits
• 401k Plan with competitive company matching
• Bi-annual swag drops with cool Podium gear and apparel 
• A stellar HQ (Utah) gym with local professional coaches and classes offered
• Onsite HQ (Utah) child care center, subsidized for employees
• Additional benefits for fully remote employees

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.