Sr Data Scientist-Consumers Energy

Job Description

Job Title: Sr Data Scientist

Company: Consumers Energy

Location: Grand Rapids, MI

Pay:

AI Pay Analysis: To analyze the competitiveness of the hourly rate for a “Sr Data Scientist” in Grand Rapids, MI, it’s essential to consider industry standards and regional cost of living. As of October 2023, the average hourly rate for a Senior Data Scientist in the U.S. typically ranges from $50 to $90, depending on experience, skills, and specific industry applications. In Grand Rapids, rates may be slightly lower than national averages due to the city’s smaller tech market. If the offered rate falls within this range, it could be considered competitive; however, if it significantly undercuts the lower end of this spectrum, it may not attract top talent. Additionally, factors like the company’s reputation, opportunities for growth, and additional benefits also play critical roles in how competitive the pay is perceived.

Job description:

Join a diverse and dynamic team that powers Michigan’s largest energy provider and one of the nation’s premier gas and electric combination utilities. Consumers Energy serves 6.8 million of Michigan’s 10 million residents, dedicated to caring for our friends and neighbors across all 68 counties of the Lower Peninsula. We are committed to a cleaner and more efficient utility vision focused on eliminating energy waste while incorporating renewable energy from sources such as wind and solar.

Location:
The successful candidate will be required to work in a hybrid capacity, reporting to any Consumers Energy Service Center every Monday, Tuesday, and Thursday, with the flexibility to work from home on Wednesday and Friday.

Position Overview: Senior Data Scientist
The Senior Data Scientist will be responsible for analyzing large and complex datasets and leading support for the data output process. This role involves developing and maintaining data models and tools tailored to meet business requirements. The incumbent will collaborate with business units to define requirements and data requests for analytical strategic projects. An active understanding of organizational needs is essential, as is the capability to solve complex business problems by generating actionable insights through various methodologies.

Key Responsibilities:

• Compile, clean, organize, interpret, and succinctly communicate data and results.
• Utilize logical reasoning to identify strengths and weaknesses of various solutions, conclusions, or approaches to problem-solving.
• Demonstrate excellent communication skills, both written and verbal.
• Exhibit comprehensive knowledge of data modeling, machine learning algorithms, statistical analysis, data visualization, and data engineering.
• Manage processes effectively and apply project management knowledge to identify project and business requirements.
• Apply strong quantitative analytics acumen and structured problem-solving skills.

Qualifications:

• Associate’s degree in data science, information technology, data analysis, or a related field with four (4) or more years of relevant experience.
• Alternatively, a High School Diploma with six (6) or more years of applicable experience.
• Proven experience in data science, statistical analysis, and modeling using leading artificial intelligence and big data tools (e.g., TensorFlow, Python, Azure SQL Server & ML Studio, Databricks, Power BI).
• Extensive experience in data analysis, data modeling, and understanding business requirements.

Preferred Skills:

• Bachelor’s Degree and/or Master’s Degree.
• Certified Analytics Professional Certification.

In this role, you will:

• Communicate data science outputs and support the development of models and solutions that provide insights for business interpretation and execution.
• Lead and conduct complex analytics initiatives from ideation through production, leveraging an understanding of the lifecycle of analytics initiatives and potential challenges.
• Prioritize business initiatives and structure projects for optimal success, considering budgetary constraints, workforce allocation, and regulatory requirements.
• Plan, organize, and manage data resources/processes to achieve complex project/program objectives while adhering to scope, timing, quality, and budget limits.
• Construct advanced analytical models utilizing statistical and machine learning expertise.
• Collaborate with subject matter experts to cultivate domain knowledge applicable to predictive and prescriptive analytics projects.
• Develop visualizations to transform data science outputs into digestible and actionable results for business partners.
• Perform other duties as assigned or deemed necessary.

Why Join Our Team?
At Consumers Energy, we offer more than just a workplace; we promote a culture that fosters career development, growth, and stability. We take pride in providing our employees with exceptional benefits and compensation packages. Our commitment to creating an inclusive culture empowers our diverse team of co-workers, ensuring they feel valued and supported every day. United by our company purpose, we strive for world-class performance while delivering hometown service.

What We Offer:

• Competitive compensation packages.
• Comprehensive Medical, Dental, and Vision benefits.
• 401(k) plan with company match.
• Paid parental leave.
• Up to 13 paid holidays per year.
• Paid time off.
• Educational Assistance Program.

Diversity, Equity & Inclusion:
At CMS Energy, we prioritize diversity, equity, and inclusion as core values. We treat our employees with respect, uphold fairness, and value diverse perspectives. We are dedicated to cultivating an environment where everyone feels included, and we encourage open conversations about our unique differences. Our Employee Resource Groups, including the Women’s Advisory Panel (WAP), Women in Energy (WE), Minority Advisory Panel (MAP), Pride Alliance of Consumers Energy (PACE), GENERGY, and Veterans Advisory Panel (VAP), exemplify our commitment to our company culture values: Caring, Empowered, Deliberate, Agility, and Ownership.

All qualified applicants will receive consideration for employment without regard to protected veteran status, disability, race, color, religion, sex, age, sexual orientation, gender identity, or national origin.

Job Posting Date: Thu, 21 Nov 2024 05:01:23 GMT

Apply now!