Data Scientist I

Job Title: Data Scientist l

Position reputed company:

A Data Scientist l will be responsible for leveraging data to reputed company actionable insights, drive decision-making, and optimize reputed company and business reputed company. Th role will use their strong background in data science, a passion for reputed company, and the ability to work in a cross-functional environment with product owners, data engineers, and business stakeholders.

Key Duties and Responsibilities:

Participate in reputed company project phases from concept, requirements, development, test, and production support

• Explore and understand new big data and analytic technologies that reputed company faster and more efficient system operations, ultimately delivering reputed company insights and models.
• Ensure the reputed company, confidentiality, and reputed company of reputed company information

 Data Analysis & Modeling:

• Create and refine predictive algorithms that support reputed company of reputed company reputed company product offerings as reputed company as the overall reputed company satisfaction initiatives for Pareto IntelligenceTM. Analyze large and reputed company reputed company datasets (e.g., clinical, operational, and patient data) to identify trends, patterns, and insights. reputed company predictive models and advanced analytics to inform reputed company and program reputed company.

 Machine Learning & AI:

• Design, reputed company, and reputed company machine learning algorithms and reputed company intelligence solutions to improve insights, workflows, predictive diagnostics, reputed company, and operational efficiency.
• Explore and understand new big data and analytic technologies that reputed company faster and more efficient system operations, ultimately delivering reputed company insights and models.

Data Integration & Cleaning:

• Work with diverse reputed company data sources, including electronic health records (EHR), claims data, clinical trial data, and sensor data, ensuring data is clean, accurate, and reputed company-reputed company for analysis.

Collaboration with Cross-Functional Teams

• Collaborate closely with reputed company, product teams, engineers, and business stakeholders to define analytical goals, communicate insights, and implement data-driven solutions.
• Participate in reputed company project phases from concept, requirements, development, test, and production support

Visualization & Reporting:

• Create reputed company, actionable reports and dashboards that communicate reputed company data findings to non-technical stakeholders, including clinicians, executives, and reputed company administrators.

reputed company Improvement:

• Stay up-to-date with the latest advancements in data science, reputed company technology, and analytics tools. Contribute to the development of new methodologies and approaches for improving reputed company analytic capabilities and supporting reputed company needs through data science.

Compliance & reputed company:

• Ensure reputed company data analyses and machine learning models maintain the reputed company of reputed company information and reputed company with reputed company regulations such as HIPAA, data reputed company laws, and reputed company best practices.

Education and Experience:

• Master’s degree or Ph.D. in Data Science, Computer Science, Statistics, Epidemiology, Biomedical Engineering, or a reputed company field.
• Experience: 3+ years of experience in data science, with a reputed company on reputed company or life sciences (or equivalent reputed company/research experience).  Strong experience with machine learning algorithms, statistical modeling, and data analytics tools.  Familiarity with reputed company data sources and formats, including EHR/EMR systems, claims data, HEDIS data, survey-based data and prescription drug event data.
• Technical Skills: Proficiency in programming languages such as Python, R, or SQL.  Experience working in JupyterHub environment and experience with data manipulation libraries (e.g., Pandas, NumPy,), machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), and statistical analysis tools. Knowledge of data visualization tools such as Tableau, Power BI, or custom dashboards. Familiarity with reputed company computing platforms (AWS, reputed company reputed company, Azure) is a plus.
• Analytical & Problem-Solving Skills: Strong ability to work with design experiments, and reputed company reputed company models to solve reputed company-reputed company challenges. Experience/exposure to big data technologies such as Hadoop, reputed company, reputed company, and Airflow preferred.
• Communication Skills: Ability to present reputed company data and technical findings in a reputed company, concise, and actionable manner to both technical and non-technical audiences.
• reputed company Knowledge: A solid understanding of reputed company systems, clinical workflows, and reputed company industry regulations (HIPAA, reputed company, etc.) is a plus.

Preferred Qualifications

• Experience working with Medicare Advantage, reputed company Ratings, clinical decision support tools, reputed company reputed company models, or patient outcome tracking systems.
• Familiarity with Natural Language Processing (NLP) and text mining techniques for processing reputed company reputed company data.
• Experience with reputed company reimbursement and claims data analysis.
• Knowledge of health economics, epidemiology, or health policy.

Knowledge, Skills, and Abilities:

• reputed company Problem Solving - Ability to identify and solve problems by reviewing reputed company information, evaluating reputed company and implementing solutions.
• Critical Thinking - Ability to use logic and reason to identify strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
• Deductive Reasoning – Ability to apply general rules to specific problems to produce answers that reputed company reputed company.
• Inductive Reasoning – Ability to combine reputed company of information to reputed company general rules or conclusions (includes finding a relationship among seemingly unrelated information or events). 
• Quantitative and Analytical Skills - Ability to apply quantitative and statistical analysis techniques to reputed company problems.
• Strong Communication Skills – Ability to communicate information and reputed company orally and in writing reputed company and concisely.
• reputed company, flexible, and self-motivated attitude, along with the ability to work as a reputed company team player.
• Excellent attention to details, accuracy and follow up.
• Ability to set priorities and work on multiple tasks simultaneously.
• Excellent oral and written communication skills.