Data Scientist Manager
About The Position
You’re a problem solver at heart and you’ve got the chops to lead teams of data scientists through parts unknown. You thrive at the intersection of engineering, math, and machine learning, and you’re motivated by questions that don’t have obvious answers and eager to guide and mentor your teams to production grade solutions. You bring a background in engineering, computer science, physics, applied math, or another hard science discipline, and you enjoy applying that technical foundation and leadership skills to real-world ML challenges. You are energized by ambiguity, obsessed with understanding how complex systems behave, and capable of breaking down big problems into tractable iterations. You ask great questions, validate assumptions with data, and are relentless in your pursuit of signal over noise.
Requirements
- 7–10 years of professional experience in Data Science, Machine Learning, or Software Engineering
- Past experience leading teams of engineers and machine learning specialists
- Technical foundation in engineering, physics, math, computer science, or related applied fields
- Experience deploying or building models using: Machine learning fundamentals (classification, clustering, time-series, anomaly detection)
- Computer vision (OCR, object detection, embeddings)
- Geospatial data analysis (mapping, clustering, location intelligence)
- Association/sequence pattern mining, feature engineering, or algorithm development
- Strong programming skills in Python and comfort with modern data/ML libraries (PyTorch, Pandas, Scikit-learn, etc.)
- Comfort working with real-world messy datasets (sensor data, imagery, telematics, transactional freight data)
Nice To Haves
- Experience working with cloud-based data tooling (Snowflake, AWS) — not required but nice to have
Responsibilities
- Lead machine learning teams to production grade solutions, ensure quality of delivery and robustness of the solution, and drive project delivery timelines
- Build machine-learning systems that power some of the most advanced logistics intelligence products in the industry
- Analyze large, noisy datasets from cameras, OCR, detections, and geospatial pipelines to uncover actionable patterns
- Design and evaluate algorithms for truck re-identification, geospatial clustering, equipment classification, OCR text labeling, anomaly detection, and more
- Collaborate with engineering and data engineering teams to scale models from prototype to production
- Work closely with product teams to deeply understand customer needs and translate them into modeling and analytics initiatives
- Apply scientific thinking to continuously test, iterate, and refine approaches as new data becomes available
Benefits
- Healthcare (US based only)
- Employer-covered comprehensive medical, dental, and vision plans
- Employer contribution towards premiums of optional higher-end plans
- Time Off
- Unlimited PTO
- Sick leave
- Company holidays (GenLogs observes all US Government holidays)
- Flexible leave for caregiving and medical needs
- Family Support
- Paid parental leave
- Professional Development
- Budget availability for approved professional development courses, certifications, and training
- Travel Support
- 100% travel reimbursement for all approved company travel and spending
- Retirement Savings
- 401(k) plan (US based employees)
- A recruiter can provide more detail about the specific compensation and benefits associated with this role.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
