Summary: This position will play a key role in developing data models, conducting complex analysis, and driving data-driven decision-making using modern data tools to design, implement, and maintain high-quality data pipelines. The ideal candidate should be highly motivated and passionate about using data to solve real-world business problems and should have experience in working with cloud-based data platforms.

Supervisory Responsibilities: This job has no supervisory responsibilities.

Duties: All duties performed will be done accurately and in a timely manner.

Design and implement data models, statistical analysis, and machine learning algorithms to extract valuable insights from large datasets.
Build and optimize data pipelines to ensure efficient data flow and availability.
Use data transformation and management tools to ensure high-quality, reproducible, and scalable data models.
Collaborate with business stakeholders to understand data needs and provide actionable insights.
Create and maintain dashboards, reports, and visualizations to communicate findings clearly and effectively.
Work with cross-functional teams including data analysts, and IT to ensure seamless integration and operationalization of data solutions.
Ensure data integrity, accuracy, and quality across all data-related projects.
Monitor and analyze key metrics, identifying trends and anomalies, and make recommendations for improvements.
Continuously evaluate and recommend improvements to the data architecture and data science tools used within the company.

Education and Experience: Bachelor’s degree in mathematics, statistics, computer engineering, or computer science preferred.

Proven experience (5+ years) working as a Data Scientist, Data Analyst, or in a similar role.

Any equivalent combination of education, experience and training that provides the required knowledge, skills and abilities to effectively perform Duties and Responsibilities as listed above.

Knowledge, Skills And Abilities

Strong experience with Snowflake for data warehousing and managing large datasets.
Proficiency in Microsoft SQL Server for querying, data manipulation, and optimization.
Strong SQL skills and experience with database design, optimization, and ETL processes.
Expertise in data transformation, testing, and documentation.
Solid foundation in statistics, machine learning, and data analysis.
Proficient in programming languages such as Python or R for data manipulation and analysis.
Experience with version control and collaborative coding workflows.
Strong experience with data visualization tools such as Tableau, Power BI, or similar.
Ability to work on a team and be proficient in collaborating with product owners and development teams to understand and contribute to vision and value of specific projects.
Strong communication, presentation, customer service, and organizational skills.
Ability to navigate competing requirements and technical restraints in innovative environments and work under pressure.
Ability to effectively investigate and troubleshoot problems to identify potential causes and solutions.
Ability to manage multiple projects simultaneously with limited supervision.
Excellent communication and interpersonal skills.
Ability to explain complex data science concepts to non-technical stakeholders.
Detail-oriented with a strong focus on data accuracy and consistency.
Strong business acumen and the ability to translate data insights into actionable strategies.

Work Environment: Depending upon the area assigned, the environment could be a 100% clinical setting or office setting in a clinical environment. Exposure to communicable diseases, bodily fluids, toxic substances, ionizing radiation, medicinal preparations and other conditions common to a clinic environment.

Mental / Physical Requirements: Requires manual dexterity, sitting, standing, stooping, reaching, kneeling, crouching, bending, walking, lifting up to 25 lbs. Close vision and ability to adjust focus. Reasonable accommodations may be made to enable otherwise qualified individuals with disabilities to perform the essential functions of the job.

Other Duties As Assigned: The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor. Responsibilities, knowledge, skills, abilities, and work environments may change as needs evolve.

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