Senior Data Science Engineer at Medidata Solutions

  • USA Only
  • Medidata Solutions
Job Description:

Our Team:

  • Power smarter treatments and healthier people with innovative data analytic applications.
  • Develop advanced cloud (AWS) based data systems to extract, assess, integrate, transform, clean, analyze and visualize datasets for complex analytics and statistical modeling.
  • Create automated data flows for research and production settings with data science engineering best practices, transparency, and scalability.
  • Solve complex business questions where situations or data require in-depth - evaluation of variable factors.
  • Assess analytical data sources, conduct hands-on exploration to determine their - value, and make them available enterprise-wide.
  • Collaborate with data engineers, data scientists, software engineers, business leaders and cross-functional stakeholders to implement data science engineering solutions based on business priorities and technology initiatives.

Who we’re looking for:

  • Advanced skills in modern data architecture, data science engineering, data modeling and data quality using state-of-art cloud computing technologies (AWS).
  • Hands-on experience in the latest breed of data ETL, automation and CICD technologies including Python, SQL and Git in a cloud setting. Experience with cloud-native data warehouse technologies like Snowflake is preferred.
  • Strong skills in data analysis, insight generation and manipulation of structured and unstructured data sources. Experience with automated data quality frameworks is a plus.
  • Demonstrated ability to collaborate with all levels of data science engineering technology personnel and senior leadership.
  • Clear, concise communication abilities – writing, verbal, presentation – to all levels of technical and non-technical audiences.
  • Entrepreneurial spirit and commitment to creating rigorous, high-quality insights from data, at scale.

Requirements (Education & Experience):

  • Undergraduate degree in a technical or engineering field, such as Data Engineering, Data Science, Data Analytics, Computer Science or Software Engineering. Masters degree is a plus.

  • 3+ years professional experience as a cloud data engineer, data scientist or related role.

  • Experience with clinical trial data is not required, but interest to learn and - understand how these data drive medical research is paramount.

  • Medidata requires all U.S. employees to be fully vaccinated against COVID-19 and to provide documentation of full vaccination, unless qualified for an accommodation as determined by Medidata, consistent with applicable law. Although accommodation requests will be considered (and granted where appropriate/possible), it may be determined that a candidate is unable to adequately perform the essential functions of the position without imposing an undue hardship on Medidata due to customer requirements, staffing needs, or other business reasons. Medidata Solutions, Inc. is an Equal Opportunity Employer. Medidata Solutions provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by the law. Medidata Solutions complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.

Company Benefits

  • Recognised on the list for Best Workplaces 2020 from Great Place to Work
  • D&I Leadership Council; Countless Business Resource Groups
  • Private health and dental care for you and your family
  • Supporting Mental Health and Wellbeing; access to tools and resources
  • Thinking about the future: retirement/ pension schemes
  • Kazoo / Rewards
  • Unforgettable (live and virtual!) Summer and Winter parties!
  • A ton of professional development

Interview Process

  • Introductory call with TA Partner
  • Interview with Senior Director of Data Engineering
  • Panel Interview Round - meeting with 4 x members of the Data Engineering & - Operations team

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