Job#: 2023112

Job Description:
Desired Role & Level: Data Scientist / mid
Location: Fully Remote
Project Scope and Brief Description:

• The candidate must have experience and fundamental knowledge in machine learning, experience in deploying models, and programming skills to develop and deliver novel solutions in an industry setting.

Responsibilities:

• Partner with research and development scientists to develop and prototype rigorous machine learning solutions aligned to project needs
• Design and implement scalable data pipelines for processing high complexity datasets such as high-throughput bioassays or large-scale agriculture datasets
• Partner with data scientists, data engineers, and production teams to deploy and maintain data products at scale
• Communicate and train research partners on models and products to facilitate data driven decisions
• 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 scientists to continuously improve underlying models and optimize data architecture
• Stay abreast of emerging technologies in big data, machine learning, and agriculture tech and advocate for their adoption where beneficial

Skills / Experience:
Educational Qualifications

• M.S. or above in Applied Statistics, Artificial Intelligence, Biostatistics, Computer Science, Data Engineering, Data Science, Engineering, Machine Learning, Physics, Software Engineering, or related highly quantitative fields. Ph.D or additional years of experience preferred but not required.

Required Qualifications

• Strong expertise in R or Python programming languages and their application to data wrangling, machine learning (e.g., TensorFlow, PyTorch), and data visualization
• Experience and fundamental understanding of machine learning techniques (e.g., logistic regression, random forest, XGBoost, SVMs, Kmeans, neural networks)
• Solid understanding of variable selection; dimensionality reduction; model diagnostics; and model training, testing, and validation
• Experience deploying machine learning models in production (e.g., CI/CD pipeline development; containerization using tools such as docker, podman, or Kubernetes; Git)
• Ability to work both independently and within a multidisciplinary team environment to provide innovative solutions
• 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:

• Familiarity with modeling biological, cellular, or ecological data; molecular biology or biochemistry concepts; or data science in agriculture
• Proven experience as a machine learning engineering or similar role with a strong focus on machine learning deployment and data pipeline construction
• Familiarity with artificial intelligence or generative AI techniques
• Experience in big data technologies (e.g., Hadoop, Spark) and database management systems (e.g., SQL, NoSQL)
• Experience with AWS
• Experience consulting on scientific projects or working within a scientific team

Est. # of work hours per week: 40
Desired Start Date: 2-3 weeks from acceptance date.
Estimated End Date: Through End of Year
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 or .

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.