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Manager Meta Data Science Jobs in Illinois (NOW HIRING)

Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate ...

Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales, and Operation ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

Meta is seeking an experienced Energy Analyst to join the Infrastructure Data Center (IDC) Energy ... Partner with Clean and Renewable Energy Managers to assess the financial and operational impact of ...

... management Thorough knowledge and experience of taxonomy creation, including meta-data, content ... The art and science of organizing and labeling web sites, intranets, online communities, and ...

Showing results 41-60

Manager Meta Data Science information

What does a manager meta data science do?

A Manager of Meta Data Science leads a team of data scientists in developing and implementing advanced analytics, machine learning models, and data-driven strategies for Meta (formerly Facebook). They are responsible for overseeing projects, mentoring team members, collaborating with cross-functional partners, and ensuring that data science solutions align with business goals. This role often requires both technical expertise and strong leadership skills to drive impactful decisions using data. Additionally, they work to improve processes, set research direction, and communicate findings to stakeholders.

How does a manager meta data science typically collaborate with cross-functional teams, and what communication challenges might arise?

A Manager Meta Data Science frequently collaborates with product managers, engineers, data analysts, and business stakeholders to ensure data-driven decision-making aligns with organizational goals. One common challenge is translating complex data science concepts into actionable business insights that are easily understood by non-technical teams. Effective communication and regular alignment meetings are essential to bridge knowledge gaps and ensure everyone is on the same page. Building strong relationships across departments and fostering a culture of transparency can help mitigate misunderstandings and streamline project delivery.

What are the key skills and qualifications needed to thrive as a manager meta data science?

To thrive as a Manager Meta Data Science, you need strong expertise in data science, machine learning, statistical analysis, and a relevant advanced degree, often in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, data visualization tools, and cloud-based platforms, as well as experience with big data frameworks, are typically required. Leadership, strategic thinking, and effective communication are crucial soft skills that enable success in managing teams and collaborating across departments. These skills are important because they ensure the ability to lead complex projects, drive data-driven decision-making, and align analytics goals with organizational objectives.
What are the most commonly searched types of Meta Data Science jobs in Illinois? The most popular types of Meta Data Science jobs in Illinois are:
What cities in Illinois are hiring for Manager Meta Data Science jobs? Cities in Illinois with the most Manager Meta Data Science job openings:

$161K - $299K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 28 days ago


Job description

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers.

Join HCSC and be part of a purpose-driven company that will invest in your professional development.

Job SummaryThis position is responsible for 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. Constructs predictive models, algorithms and probability engines to support data analysis or product functions; verifies model and algorithm effectiveness based on real-world results. Lead 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;. Advise business by providing data-based strategic direction to identify and address business issues and opportunities. Plan, manage and lead team of analysts that provides advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems.

Required Job Qualifications:
* 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 Job Qualifications:
* Masters or Ph.D. in a quantitative field, or Bachelor's degree with healthcare experience.
* Actuarial Credentials

Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!

Pay Transparency Statement:

At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting https://careers.hcsc.com/totalrewards.

The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plansubject to the terms and the conditions of the plan.

HCSC Employment Statement:

We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.

Base Pay Range$161,500.00 - $299,700.00

Exact compensation may vary based on skills, experience, and location.