Responsibilities: Mercury Technologies, Inc. is looking for Sr. Data Scientist(s), Marketing in San Francisco, CA to Analyze large and complex data sets for financial technology company.

Duties may include:

• 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.
• May telecommute. 

 

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

 

The salary range for candidates in the US is 203,100.00 - 286,700.00. Our salary ranges are based on paying competitively for our size and industry, and all employees receive salary + equity + benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, skillset, and balancing internal equity relative to peers at the company.

The ranges shared are for the expectations as laid out in the job description, however we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced or more senior than this job description as posted. If that ends up being the case, the updated salary range will be communicated with you as a candidate.

E-mail resume to: jobs@mercury.com and reference Job #20.

 

*Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group, Column N.A. and Evolve Bank & Trust, Members FDIC

*Position eligible for Employee Referral Program*