
Senior Data Scientist
Posted Sep 9

Posted Sep 9
This is a fully remote position, open to applicants in Ohio.
• Develop data products that integrate available data into actionable predictions, automate manual tasks, and deliver comprehensible information for human-in-the-loop decision-making.
• Collaborate with a cross-functional team to enhance algorithmic pricing throughout the organization.
• Iteratively construct a system that establishes core signals of supply, demand, willingness-to-pay, and anticipated ROI.
• Adjust prices dynamically to achieve optimal pricing in response to changing conditions.
• Incorporate interpretability into the system to ensure that quoted prices are justifiable and that price changes are driven by clear factors.
• Ensure that pricing exception decisions are executed consistently.
• Cultivate a deep understanding of campaign objectives and limitations.
• Utilize machine learning, statistical modeling, and optimization techniques to deliver significant results for clients.
• Mentor and guide less experienced members of the data science team.
• Address a wide variety of analytical inquiries and challenges.
• A bachelor's degree in Applied Statistics, Computer Science, Economics, Operations Research, Business Analytics, Information Systems, or a related discipline.
• Over 6 years of relevant data science experience in developing data products, deploying models into production, and providing analyses to both internal and external stakeholders.
• Proficiency in Python and SQL.
• Comprehensive experience with the end-to-end data stack, including data manipulation, analysis, visualization, model deployment, and pipeline orchestration.
• Advanced expertise in machine learning and data science methodologies, such as predictive modeling, model validation and selection, network analysis, price elasticity estimation, and optimization under constraints.
• Experience in promoting models throughout their lifecycle and monitoring their performance.
• Excellent communication skills and a collaborative mindset for engaging with stakeholders.
• A master's or doctoral degree in a related field is preferred.
• Professional experience in healthcare, pharmaceuticals, value-based pricing, B2B pricing, and digital advertising sectors is preferred.
• Familiarity with Snowflake, Cursor, Airflow, HEX, and Gurobi is preferred.
• Ability to identify and resolve problems in a fast-paced environment.
• Capacity to translate complex data findings into compelling narratives.
• Ability to work collaboratively with engineering, product management, pricing, and other teams.
• Consistently delivers results in alignment with expected timelines.
• Competitive compensation.
• Flexible time off to recharge.
• Hybrid work options available.
• Resources for mental and emotional wellness.
• 401K plan.
• A comprehensive range of modernized benefits and cultural perks.
• Up to 20 days of travel per year.
HighLevel
HighLevel
Brown and Caldwell
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