Degree in Data Science, Statistics, Computer Science, Math, or similar quantitative field
0-5+ years' experience in building and deploying predictive models
Proficient in data science, machine learning, and programming languages like Python or R
Skilled in translating data into insights using visualization tools and SQL
Hands-on with Git or similar for managing workflows
Experience in supply chain or demand planning is advantageous but not essential
Responsibilities
Build, test, and refine advanced predictive models for accuracy
Apply algorithms to address supply chain challenges
Deploy and maintain models ensuring they are fast and reliable
Collaborate with IT and engineering for seamless model integration
Analyze complex datasets to identify trends for informed decision-making
Create dashboards to present insights in a user-friendly manner
Automate reporting workflows to increase organizational efficiency
Manage projects from inception to measurable outcomes
Serve as a data science subject matter expert and mentor team members
Benefits
Career growth and development opportunities
Supportive work culture
Company-paid health and wellness benefits
Paid time off and holidays
401K savings plan with company match
Family building benefits
Parental leave
Full Job Description
A Snapshot of Your Day
Data Superhero, Future Forecaster.
Step into the future and help us build it. We've already created the engine. We've programmed the platform. Now we need a data superhero who can bring it to life. Someone who can decode patterns, harness AI, and predict what's next 3 to 10 years before it happens.
This is your chance to shape the future of a cutting-edge go-to-market product transforming parts inventory sales. As the architect of advanced forecasting, you'll turn complex data into clear direction fueling smarter decisions, faster execution, and a more resilient business.
How You'll Make an Impact
50% Advanced Predictive Modeling & Forecasting
Build, test, and sharpen advanced models to boost forecast accuracy
Apply cutting-edge algorithms to crack tough supply chain challenges
Deploy and own models in production-keep them fast, stable, and reliable
Partner with IT and engineering to seamlessly integrate models into the business
30% Data Analysis & Digitalization
Dig into complex data to uncover trends that drive smarter demand decisions
Build sleek dashboards that turn insights into instant clarity
Automate data and reporting workflows to boost speed and efficiency across the organization
20% Project Management & Mentorship
Own projects end-to-end from idea to measurable impact
Be the go-to expert driving data science strategy and best practices
Mentor and elevate the team coach, review, and delegate for growth
What You Bring
Degree in Data Science, Statistics, Computer Science, Math, or similar quantitative field
0-5+ years' building and deploying predictive models. More years of experience may be considered at a higher level.
Strong in data science, ML, forecasting, and coding in Python, R, or similar
Translate data into insight with visualization, SQL, and modern BI/data engineering tools (e.g., Power BI or equivalents).
Agile, hands-on mindset, streamlining workflows and managing code with Git or similar
Able to own complex projects, mentor others, and eligible to work in the U.S. without current or future sponsorship
Supply chain or demand planning experience a plus, not a prerequisite
Able to manage complex projects and provide mentorship
Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
About the Team
Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.
Rewards/Benefits
Career growth and development opportunities
Supportive work culture
Company paid Health and wellness benefits
Paid Time Off and paid holidays
401K savings plan with company match
Family building benefits
Parental leave
Jobs & Careers: https://jobs.siemens-energy.com/jobs
