Sr. Data Scientist I
Overview:
The Senior Data Scientist I plays a pivotal role in utilizing data to generate insights, applying advanced statistical or machine learning methodologies, solving complex business problems, and influencing decision-making across the organization.This position reports to the Data Science Manager of the Health Analytics unit.
Responsibilities:
- Applies advanced data analytics techniques to extract insights and patterns from complex
- Develops predictive models, machine learning algorithms, and statistical analyses to
- Collaborates with cross-functional teams to identify opportunities for leveraging data and
- Mentors, collaborates and/or leads data analysts and junior data scientists in complex
- Communicates complex findings and insights to non-technical stakeholders effectively,
- Stays up-to-date with the latest advancements in data science techniques and tools, and
- Ensures data quality and integrity by implementing data cleaning, preprocessing, and
- Collaborates and supports the Health Analytics team in ad-hoc analysis, code &
- Conducts complex statistical analysis and complex reporting independently or with
- Designs and develops data collection strategies, aggregation, analysis, and reporting to
- Works collaboratively with business partners, other analysts, and IT to gather and
- Participates in design and interpretation of data analyses; provides recommendations for
- Maintains in-depth knowledge of health plan operations, including claims processing,
programs.
- Critically analyzes data, draws conclusions and effectively articulates results.
- Presents data and conclusions to non-technical audience; uses data visualizations and
- Creates and maintains thorough and consistent documentation of programs used to create
- Manages and prioritizes workload while meeting deliverables and expectations.
- Works collaboratively across departments to understand and meet the organization’s
- Takes on various assignments, either collaboratively or independently as required.
Qualifications:
Education and Experience
Master's degree or PhD in Computer Science, Statistics, Mathematics, or a related field. At least four (4) years of experience in advanced
predictive analytics, with a proven track record of delivering impactfulinsights and solutions.
Special Skills, Licenses and Certifications
Proficiency in programming languages such as Python, R, or SQL, andfamiliarity with data manipulation and analysis libraries. Strong
knowledge of statistical analysis, machine learning techniques, and
predictive modeling. Experience with data visualization tools like
Tableau, Power BI, or Matplotlib. Excellent problem-solving skills and
the ability to think analytically. Experience with big data technologies
(Hadoop, Spark) and cloud platforms (AWS, Azure, GCP) is a plus.
Valid California driver’s license with proof of insurance coverage inconformity with State law.
Performance Based Competencies
Strong communication skills and the ability to effectively communicatecomplex ideas to different audiences. Ability to work on multiple
projects and assignments simultaneously and meet deadlines.
Work Environment And Physical Demands
A majority of work time is spent in front of a computer monitor.Ability to use a computer keyboard. When required, ability to move, carry, and/or lift objects of varying sizes.
All HealthPlan employees are expected to:
- Provide the highest possible level of service to clients;
- Promote teamwork and cooperative effort among employees;
- Maintain safe practices; and
- Abide by the HealthPlan’s policies and procedures as they may from time to time be updated.
HIRING RANGE:
$136,296.78 - $177,185.82
IMPORTANT DISCLAIMER NOTICE
The job duties, elements, responsibilities, skills, functions, experience, educational factors and the requirements and conditions listed in this job description are representative only and not exhaustive of the tasks that an employee may be required to perform.The employer reserves the right to revise this job description at any time and to require employees to perform other tasks as circumstances or conditions of its business, competitive considerations, or work environment change.