Senior Data Scientist

Summary

Join Mercury Technologies, Inc. as a Sr. Data Scientist in San Francisco, CA! Analyze large datasets using advanced statistical methods and machine learning. Employ various tools and programming languages, including SQL, Python, R, Snowflake, fivetran, and DBT. Collaborate with marketing and cross-functional teams to deliver data-driven insights. Build and deploy machine learning models to predict customer behavior and optimize marketing campaigns. Lead A/B testing and develop marketing measurement capabilities. Ensure data accuracy and integrity. This role offers a competitive salary, equity, and benefits, with potential for telecommuting. A Master's degree and five years of relevant experience are required.

Requirements

• Master’s degree or foreign equivalent degree in Computer Science, Computer Engineering, Information Systems, or a related field
• Five years of experience working as a Senior Data Scientist, Data Scientist, Business Intel Engineer, Business Associate, or a related occupation

Responsibilities

• Analyze large and complex data sets using advanced statistical methods and machine learning techniques to uncover actionable insights to guide business strategies
• Employ range of technology tools and programming languages, including SQL for data extraction and manipulation, Python and R for data analysis and model building, and platforms, including Snowflake, fivetran and DBT for data warehousing and transformation
• Utilize tools such as Metabase, to create compelling visualizations and dashboards, enabling stakeholders to understand the data and make informed decisions quickly
• Work closely with the marketing team to conduct in-depth, complex analyses and answer critical business questions, delivering insights that will provide informed decisions on customer acquisition, engagement, and retention
• Build and deploy machine learning models to predict customer behavior, optimize marketing campaigns, and improve product offerings, enhancing the overall customer experience and driving growth
• Collaborate with cross-functional teams, including product, finance, and engineering, to ensure that data insights are integrated across the organization, driving coherent and coordinated action
• Lead the design and analysis of A/B tests and other experimental frameworks and provide insights that guide the development and optimization of marketing strategies and product feature
• Develop and apply marketing measurement capabilities such as Marketing Mix Modeling (MMM), and Multi-touch Attribution (MTA) to evaluate the performance of our marketing efforts
• Ensure data accuracy and integrity, while establishing and enforcing data governance practices, maintaining the reliability of our data-driven insights
• Provide tactical support in terms of day-to-day analytics, and also play a strategic role in shaping the direction of the team and the company, leveraging data to identify growth opportunities and drive innovation

Benefits

• Salary + equity + benefits
• May telecommute