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Temporary Data Science Physics Jobs in Chicago, IL

Kemper

Director, Data Science Operations

Chicago, IL · Remote

$160K - $226K/yr

Lead analytics/data science ETL projects. Lead team. Evaluate organization's tech. needs, create ... MIN REQ: Bach. degree, or foreign equiv., in Comp Sci, Eng'g, Math, Physics or related field. 10 ...

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Temporary Data Science Physics information

What is the difference between Temporary Data Science Physics vs Data Analyst?

AspectTemporary Data Science PhysicsData Analyst
Required CredentialsDegree in Physics, Data Science, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; data handling skills
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, marketing departments
Industry UsageScientific research, tech innovation, academiaBusiness insights, reporting, decision-making

Temporary Data Science Physics roles focus on applying physics principles and data science techniques in research or tech environments, often requiring strong analytical and programming skills. Data Analysts primarily interpret data to support business decisions, with a focus on data visualization and reporting. While both roles involve data handling, their industry applications and skill sets differ, making them distinct career paths.

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Temporary Data Science Physics jobs near you

Senior Director Data Science

Health Care Service Corporation

Chicago, IL • On-site

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Health Care Service Corporation (HCSC) is a purpose-driven company that invests in the professional development of its employees. The Senior Director of Data Science is responsible for planning, managing, and controlling department activities that utilize advanced mathematical and statistical concepts to analyze data and solve business problems, while leading a team of analysts.
Responsibilities:
• Planning, managing and controlling the activities of the department that provides advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems.
• Constructing predictive models, algorithms and probability engines to support data analysis or product functions; verifying model and algorithm effectiveness based on real-world results.
• Leading initiatives to analyze complex business problems and issues using data from internal and external sources; bringing expertise or identifying subject matter experts in support of multi-functional efforts to identify, interpret and produce recommendations and plans based on company and external data analysis.
• Advising business by providing data-based strategic direction to identify and address business issues and opportunities.
• Planning, managing and leading team of analysts that provides advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems.
Qualifications:
Required:
• Bachelor’s degree and 7 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 2 or more advanced degrees and 6 years of work experience in a in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Ph.D. and 4 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 11 years of work experience in an advanced mathematical, statistical , engineering, physics or related quantitative field.
• Leadership and/or management experience.
• 4 years of management experience.
• Learning and growth mindset.
• Customer-focused.
• Interpersonal, verbal and written communication skills.
• Experience in at least five of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing. 6) understanding of healthcare.
• Microsoft applications including Access, Excel, Word and Power Point.
• A track record of independently delivering or leading the delivery of a complex analytics or data science project.
• Mentoring, managing, or leading junior analytics or data science staff.
• Overseeing the annual budget and allocating resources for various projects and operational needs.
• Translating needs and initiatives into compelling business cases.
• Conducting cost-benefit analyses to justify investments and ensure ROI.
Preferred:
• Masters or Ph.D. in a quantitative field, or Bachelor’s degree with healthcare experience.
• Actuarial Credentials
Company:
Health Care Service Corporation is a customer-owned health insurance company. Founded in 1936, the company is headquartered in Chicago, USA, with a team of 10001+ employees. The company is currently Late Stage.

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