
Senior Data Scientist – Manufacturing Operations
Dandy
full-time
Posted on:
Location Type: Hybrid
Location: Indianapolis • United States
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Salary
💰 $191,700 - $239,700 per year
Job Level
About the role
- Build production management and prescriptive analytics systems to help the manufacturing team execute and scale
- Develop and share insights that drive impact within the Manufacturing, Supply Chain, and Operations teams
- Define the data language (i.e. KPIs, dashboards, measurement, etc) to ensure your team grasps the underlying truth that drives progress and success
- Facilitate rapid decision making through ad hoc work or by democratizing data/self service (effective BI or user-friendly explores in Looker in partnership with our data engineers)
- Utilize your data super powers to reduce ambiguity and solve problems
- Mentor other analysts and help them grow
Requirements
- 6+ years of experience working in data analytics or data science, ideally in a B2B operations setting
- BA/BS in a quantitative field such as statistics, computer science, operations research or a BA/BS in behavioral science (economics, psychology, etc) with statistics skills
- Excellent SQL skills
- Strong scripting Python skills
- Previous experience using data to drive impact in manufacturing or operations environments
- Familiarity with operations research and supply chain management concepts
- Strong communication skills and experience communicating results in a way that drives change. You have the ability to use data to inform, align, and lead
- Strong senses of autonomy and ownership
- Strong critical thinking, problem solving, and statistical skills.
Benefits
- healthcare
- dental
- mental health support
- parental planning resources
- retirement savings options
- generous paid time off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analyticsdata scienceSQLPythonstatisticsKPI definitiondashboard creationprescriptive analyticsoperations researchsupply chain management
Soft skills
communicationcritical thinkingproblem solvingautonomyownershipmentoringinsight sharingdecision makingdata-driven impactleadership