Data Scientist, Marketing Strategy & Insights

Pleasanton, California, USA HQ

10x Genomics

We deliver powerful, reliable tools that fuel scientific discoveries and drive exponential progress to master biology to advance human health.

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About the Role:

At 10x Genomics, everything we do is driven by our mission: To accelerate the mastery of biology to advance human health. 

 

Our Marketing Strategy & Insights function is a cross-disciplinary team that plays a key role in developing insights on market opportunities and strategies for success. We build tools and frameworks to help make informed, data-driven decisions. We are committed to hiring the world's best and brightest people with knowledge and skill sets at the intersection of market research, marketing operations, data analytics, and data science.

What you will be doing:

This role will work cross-functionally to build the framework, underlying data structures, tools, and processes for measuring the effectiveness of our marketing and drive continuous improvement. The successful candidate will be responsible for providing data-driven insights such as building business cases, data modeling, and performance reporting. Initial responsibilities will include, but are not limited to: 

  • Increase actionable insights and improve decision-making across the company by: 
    • Contributing data science expertise to market research and market modeling efforts
    • Support Marketing teams by developing campaign attribution models to identify high impact campaigns
    • Supporting Product Management teams in building business cases for new product concepts
    • Leading internal marketing efforts to determine master data requirements and align across functions and systems to enable more efficient and robust reporting
    • Improving underlying processes and data structures for reporting
    • Identifying high impact channels and recommending the optimized channel mix
  • Drive continuous improvement in our marketing by:
    • Partnering with Marketing Analytics and Finance to define CAC and LTV, and building a framework to implement in reporting
    • Implementing A/B test frameworks and educating stakeholders across marketing to increase adoption
    • Modeling marketing mix and suggesting next best action on a personalized basis
    • Improving reporting tools that serve both executives and execution-oriented marketers

 

Minimum Requirements: 

  • BS in STEM or related field 
  • Minimum 3 years’ experience in a related role 
  • Strong analytical skills
  • Advanced knowledge of R, SQL, Python (e.g., pandas, jupyter notebooks) for data manipulation 
  • Applied statistics and machine learning experience (regression analysis, time series, probabilistic models, supervised and unsupervised methods)Deep understanding of data architecture, pipelines, and enterprise systems
  • Experience with effective data visualization and reporting tools (i.e. Tableau, PowerBI) and open-source Python libraries (i.e. Plotly and Bokeh)
  • Proven ability to turn data analysis into actionable business insights and recommendations with quick turnaround times
  • Excellent problem-solving, project management, and communication skills. 
  • Ability to interpret complex information and provide strategic recommendations in a simple and concise manner. 
  • Demonstrated ability to work independently and manage multiple priorities in a fast paced environment. 

 

Preferred Qualifications:

  • Experience with marketing operations and analytics for a multinational company as specified in “About the Role” (data structures for marketing systems, marketing mix, survey analysis)
  • Experience with Python application development frameworks (Flask, Django) and data app frameworks (Streamlit)
  • Experience using Generative AI models and frameworks e.g., ChatGPT, open source LLM, Langchain, Retrieval Augmented Generation (RAG)
  • Understanding of businesses financials and ability to articulate work in terms of contribution to financials and mission
  • BS/MBA in Finance, Accounting, Economics, Business Analytics (preferred both)

Below is the base pay range for this full time position.  The actual base pay will depend on several factors unique to each candidate, including one’s skills, qualifications, and experience.  At 10x, base pay is also just one component of the Company’s total compensation package.  This role is also eligible for 10x’s equity grants, its comprehensive health and retirement benefit programs, and its annual bonus program or sales incentive program.  Your 10x recruiter can share more about the Company’s total compensation package during the hiring process.

Pay Range$143,000—$193,000 USD

About 10x Genomics

At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world.

We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience.

Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference. 

Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law.

10x does not accept unsolicited applicants submitted by third-party recruiters or agencies. Any resume or application submitted to 10x without a vendor agreement in place will be considered unsolicited and property of 10x, and 10x will not pay a placement fee.

   

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Category: Data Science Jobs

Tags: Architecture Biology Business Analytics ChatGPT Data analysis Data Analytics Data visualization Django Economics Finance Flask Generative AI GPT Jupyter LangChain LLMs Machine Learning Market research Open Source Pandas Pipelines Plotly Power BI Python R RAG Research SQL Statistics STEM Streamlit Tableau

Perks/benefits: Career development Equity / stock options Salary bonus

Region: North America
Country: United States

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