Job Description:

REMOTE: Data Scientist

We have a large client with an exciting opportunity for a Data Science Contractor. The successful candidate will join a strong, globally distributed Data Science team that develops and applies innovative methods and tools to deliver insights. The candidate will partner with leading toxicologists, environmental scientists, and discovery scientists to support our growing data science effects in predictive safety. The preferred location for this position is Indianapolis, IN. Remote candidates will also be considered on a case-by-case basis.

The candidate must have experience and fundamental knowledge in machine learning and/or statistics as well as programming skills to develop and deliver novel data science solutions in an industry setting

Key responsibilities include:

• Partner with scientists to develop, prototype, and deliver rigorous machine learning and statistical solutions aligned to project needs
• Pre-process high-complexity datasets such as high-throughput bioassays
• Communicate and train research partners on data science models and products to facilitate data-driven decisions
• Partner with engineering and production teams to deploy data products at scale
• Communicate insights derived from complex data analysis into simple conclusions that empower leadership to drive action; communicate results in internal and external forums; and contribute to scientific articles as needed
• Steward data product life cycle and partner with other data scientists to continuously improve underlying models

Educational Qualifications

M.S + 3 years’ experience or Ph.D. degree in Statistics, Applied Statistics, Biostatistics, Computer Science, Data Science, Engineering, Physics, or related highly quantitative fields. Additional years of experience preferred but not required.

Required Qualifications

• Expertise in R or Python programming for data wrangling, statistical analysis, and machine learning applications
• Fundamental understanding of machine learning techniques for classification (e.g., logistic regression, random forest, XGBoost, SVMs, K-means, neural networks)
• Fundamental knowledge of statistics
• Understanding of dimensionality reduction; model diagnostics; and model training, testing, and validation
• Ability work both independently and within a multidisciplinary team environment
• Ability to successfully collaborate with colleagues from diverse technical backgrounds which includes excellent communication, interpersonal, verbal, and written skills
• Strong critical thinking and problem-solving skills, flexibility, and willingness to learn

Preferred Qualifications:

• Experience with visualization and rapid prototyping tools (e.g., R Shiny, Python Dash, R plumber)
• Experience developing in an agile team environment using modern DevOps tools (e.g., Git, Docker)
• Familiarity with modeling biological, cellular, or ecological data
• Familiarity with molecular biology or biochemistry concepts
• Familiarity with data science in Agriculture

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at employeeservices@apexsystems.com or 844-463-6178.

4400 Cox Road

Suite 200

Glen Allen, Virginia 23060

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at employeeservices@apexsystems.com (Do not submit resumes or solicit consultants to this email address). Join our Talent Network! UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Apex Systems.