Data Science Manager

PACCAR • Lewisville, TX

1d • Onsite

About The Position

Global Powertrain Advanced Analytics is looking for a Data Science Manager with a passion for all aspects of the data science lifecycle. The successful candidate will be curious, self-driven, and analytical, with strong mentoring and leadership skills. They will explore complex datasets, uncover meaningful insights, solve challenging problems, and develop a talented team.

Requirements

• Bachelor’s degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related discipline
• 8+ years of data science experience and tech industry experience
• 3+ years of leadership experience
• Applied experience with machine learning on large data sets and advanced statistical techniques
• Experience articulating business questions and using mathematical techniques to arrive at an answer using available data.
• Ability to write clean and concise code in an object-oriented language and SQL
• Ability to partner with cross-functional teams using strong written and verbal communication
• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
• Initiative on solving problems and completing tasks in a reasonable timeframe
• Strong written and verbal communication skills
• Positive, can-do attitude

Nice To Haves

• Master’s degree or Ph.D. in a quantitative field
• Experience with Diesel Engines
• C # or Java programming skills
• Knowledge of LLMs
• Hadoop, Spark, MapReduce, Hive

Responsibilities

• Lead data science talent by example to build a culture of creative problem-solving, and innovation
• Provide mentorship to help data scientist grow technically, and professionally
• Conduct end-to-end analyses to solve business problems including, but not limited to, data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
• Build and operationalize data pipelines, analytical tools and decision support models
• Creatively identify and pursue predictive analytics opportunities to solve business problems and drive value
• Implement data science best practices
• Define and evaluate key metrics and understand what moves them and why
• Strategize on making analyses easily repeatable, accessible, and actionable
• Proactively identify and develop expertise in new technologies, methodologies, and advanced statistical techniques
• Communicating technical ideas to non-technical stakeholders by translating complex findings and results into a compelling narrative

Benefits

• Medical, dental, and vision insurance plans for you and your family.
• Paid Time Off – vacation, paid holidays, and sick leave.
• 401k with company match, AND a company-paid pension plan after 5 years.
• Tuition reimbursement for continued education – eligible after 1 year of service

What This Job Offers

• Job Type: Full-time
• Career Level: Manager