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Sr. Manager Data Science

Company: Thermo Fisher Scientific
Location: San Jose
Posted on: April 10, 2021

Job Description:

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $25 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, improving patient diagnostics and therapies or increasing productivity in their laboratories, we are here to support them.

Location / Division

San Jose, CA - Sunnyvale, CA - Austin, TX / Chromatography and Mass Spectrometry

How will you make an impact?

We are looking for an ambitious, talented, and self-motivated individual, who will lead our team of talented data scientists to help our customers solve global health challenges. In this role you will lead our team to help our customers in resolving a wide range of scientific issues. In order to achieve your goals, you will collaborate with researchers, product managers, and engineers to formulate scientific research questions and develop innovative machine learning approaches to solve those challenges.

The role requires working collaboratively across the Technology, Product and Commercial organizations to ensure alignment towards business goals. In this role, you will build strong relationships with cross-functional team members and business stakeholders.

What will you do?

  • Lead and direct the efforts of globally located data science teams
  • Manage and mentor a team of Data Scientists to allow for skill/knowledge development through advice, coaching, career planning and training opportunities
  • Research, design, build and deploy innovative machine learning models that drive significant impact to our customers and the business and develop innovative approaches to large-scale data analysis and interpretation.
  • Develop innovative solutions and approaches to turn raw data from various sources into novel insights.
  • Implement cutting-edge approaches to large-scale data analysis and interpretation.
  • End to end execution of our ML pipeline, from understanding customer needs, data discovery and extraction, model development, evaluation, validation and production pipeline implementation
  • Stay up to date with new technologies and determine how to incorporate these into future platform capabilities
  • Build strong relationships with cross-functional team members and business stakeholders How will you get here?

    • BS degree in software engineering or related field Experience
      • 5+ years in a Data Scientists role
      • 3+ years of supervisory experience
      • Ability to lead and mentor junior and less experience team members
      • Knowledge of broad spectrum of techniques from data science, machine learning and statistical methods and experience applying these techniques to solve real world problems.
      • Experience with statistical packages (e.g. scikit-learn, NumPy, etc.)
      • Extensive experience in data modeling, ETL development, and data warehouse design.
      • Experience deploying and maintaining machine learning models in a cloud environment
      • Experience in working with large data sets and pipelines, distributed systems for machine learning using frameworks such as Apache Spark
      • Extensive experience coding and building solutions using data science tools/scripting languages (Python, R)
      • Experience with data visualization techniques to visualize complex data sets Knowledge, Skills, Abilities
        • Ability to lead and mentor junior and less experience team members
        • Ability to provide in-depth evaluation and analysis of unique complex technological issues
        • Ability to exercise discretion and independent judgment Preferred Qualifications
          • Life Science experience
          • Working knowledge of semantic-web (RDF, OWL) and graph-databases Keywords: Machine Learning, Spark, SQL, RDF, Graph, Python, NumPy

            Our global team of more than 75,000 colleagues delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services and Patheon. For more information, please visit

            Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

Keywords: Thermo Fisher Scientific, San Jose , Sr. Manager Data Science, Executive , San Jose, California

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