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Intelligent Warehouse Automation
Job Description
About the Role
Lead our analytics team driving data-informed decisions for Fortune 500 clients. You’ll develop machine learning models, design A/B testing frameworks, and present insights to executive stakeholders. Oversee projects that directly influence product roadmaps and customer experiences.
Responsibilities
- Build predictive models using Python/R and ML frameworks
- Design and analyze large-scale experiments
- Develop data pipelines with Spark/Airflow
- Translate business problems into analytics solutions
- Mentor junior data scientists and analysts
- Collaborate with engineering on data infrastructure
- Present findings to technical and non-technical audiences
Requirements
- Master’s in Statistics, CS, or quantitative field
- 7+ years experience in data science roles
- Expertise in Python, SQL, and cloud data platforms
- Proven experience with ML deployment (TensorFlow/PyTorch)
- Experience managing technical teams
- Strong statistical analysis background
- Experience with big data technologies (Hadoop/Kafka)
- Exceptional data storytelling skills
Benefits
- Annual bonus target 20% of base salary
- Equity compensation package
- $10k annual professional development budget
- Fully covered health insurance premiums
- Unlimited PTO with mandatory minimum usage
- Remote-first work environment
- Quarterly team offsites
- Student loan assistance program
About the Company
OmniAnalytics delivers cutting-edge data solutions to global enterprises. Our mission is to transform complex data into actionable strategies through ethical AI practices. We champion diversity, offering flexible work arrangements and continuous upskilling opportunities in our collaborative environment.
Job ID: data-science-manager-hDAoQ