Director, Data Science & Analytics
Seek
PythonSparkSQL
Lead Data Scientist
Marketing Architects
full-time
Posted on:
Location Type: Remote
Location: Remote • California • 🇺🇸 United States
Visit company websiteSalary
💰 $160,000 - $190,000 per year
Job Level
Senior
Tech Stack
AWSAzureCloudDockerGoogle Cloud PlatformKubernetesNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow
About the role
- Lead a small, but mighty, team of data scientists to deliver high-impact machine learning systems
- Manage, mentor, and recruit data scientists; set goals, coach, and build a culture of experimentation, speed-to-market, and innovation
- Translate company priorities into a quarterly DS roadmap; define problem framing, success metrics, and stage-gates from research → production
- Oversee development of supervised/unsupervised, NLP/CV, and forecasting models using Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL
- Ensure reliable deployment on cloud platforms (AWS/Azure/GCP), Databricks, Docker/Kubernetes
- Champion data collection, labeling, and preprocessing standards; partner with Data Engineering on pipelines, observability, and lineage
- Act as the primary Data Scientist point of contact for cross-functional leaders; communicate technical concepts in plain language
Requirements
- 7–10+ years in data science/ML with 2–4+ years leading or managing data scientists
- Proficiency in Python (pandas, NumPy, scikit-learn; plus PyTorch or TensorFlow), SQL, and model lifecycle from exploration to production
- Hands-on with cloud (AWS/Azure/GCP), Databricks, MLflow, Docker; insight with feature stores, monitoring, and CI/CD
- Deep comprehension of experimental design, metrics, causal methods, and interpreting real-world impact
- Track record of scoping ambiguous problems, defining success metrics, and communicating trade-offs to execs
- Demonstrated ability to set vision, build process, and foster an inclusive, high-performance team culture
- Exposure to real-time inference, streaming data, or reinforcement learning
- Domain comprehension in our industry; privacy/ethics frameworks for ML in production
Benefits
- 100% employer-paid medical, dental and disability, with vision option
- Generous 401(k) matching
- Flexible paid time off, 9 paid holidays plus 2 floating holidays
- Paid parental leave (for birthing and non-birthing parents, including adoption)
- Annual office supply allowance, monthly internet stipend, and employer-paid cell phone
- Opportunities to connect virtually, and in-person twice a year with our fully remote team
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdata sciencePythonSQLNLPCVsupervised modelsunsupervised modelsforecasting modelsexperimental design
Soft skills
leadershipmentoringcommunicationproblem framinggoal settingteam cultureinnovationcollaborationcoachingvision setting
