What are the responsibilities and job description for the Data Science Analyst position at Jobs via Dice?
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Job Title: Data Science Analyst (Self Represented W2 Contract / No Agencies)
Why work at OpTech?
OpTech is a woman-owned company that values your ideas, encourages your growth, and always has your back. When you work at OpTech, not only do you get health and dental benefits, but you also have training opportunities, flexible/remote work options, growth opportunities, 401K and competitive pay. Apply today! To view our complete list of openings, pleas e visit our website at
RESPONSIBILITIES:
Required Skills And Experience
Job Title: Data Science Analyst (Self Represented W2 Contract / No Agencies)
Why work at OpTech?
OpTech is a woman-owned company that values your ideas, encourages your growth, and always has your back. When you work at OpTech, not only do you get health and dental benefits, but you also have training opportunities, flexible/remote work options, growth opportunities, 401K and competitive pay. Apply today! To view our complete list of openings, pleas e visit our website at
RESPONSIBILITIES:
- Under minimal supervision, responsible for solving complex business cases by understanding problem statements and conditions to generate workable hypotheses and solve by creating data driven models
- Develops complex models by utilizing statistical, algorithmic and visualization techniques and provides insights for cross-functional teams within Our Client and its subsidiaries
Required Skills And Experience
- Minimum 2 years of proven experience designing and developing advanced analytics and AI solutions using machine learning and deep learning techniques, including natural language processing (NLP)
- Hands-on experience working with big data and cloud platforms (AWS preferred, Databricks plus), along with strong software development skills and adherence to best coding practices
- Strong communication skills, with the ability to clearly explain technical concepts to project leads and present insights effectively to non-technical audiences
- Proficient in Python
- Ability to translate complex business problems into analytical solutions, decompose them into actionable components, and build end-to-end data-driven solutions from the ground up
- Experience developing custom NLP applications using deep learning models, including transformer-based architectures (e.g., large language models, or LLMs)
- Familiarity with rapid prototyping and demo creation using frameworks such as Streamlit
- Prior experience in the healthcare industry preferred
- Bachelor s degree in data science, Machine Learning, Computer Science, Applied mathematics, Statistics, Mechanical Engineering, Operations Research, or related field is required
- Master's in related field is preferred.