What are the responsibilities and job description for the Data Science Lead position at ORBCOMM?
Job Posting Title Data Science Lead
Job Description
DevOps / Site Reliability Engineering (SRE) Lead – Azure
Job Description
Join Us as Data Science Lead!
The Data Science Lead is responsible for designing, building, and operationalizing advanced analytics and machine learning solutions that transform large-scale operational and enterprise data into predictive intelligence.
This role defines the end-to-end data science strategy, leads model development, and works closely with data engineering, platform engineering, and product teams to deploy scalable machine learning systems that drive data-driven decision making across the organization.
This role is based out of our Hyderabad, India office. We operate in a hybrid work environment, requiring a minimum of three (3) days per week onsite, with the option to work remotely for up to two (2) days per week.
What You’ll Do
AI / ML Strategy
- Define and execute the enterprise AI and data science strategy.
- Identify high-impact machine learning opportunities across operations, products, and customer solutions.
- Translate complex business problems into scalable data science solutions.
- Establish standards and best practices for model development and deployment.
Machine Learning Model Development
- Lead development of models across several domains such as:
Predictive Models
- Forecasting and demand prediction
- Operational performance prediction
- Equipment or asset utilization forecasting
Intelligence & Pattern Detection
- Behavioral pattern detection
- Anomaly detection
- Classification and clustering of operational data
Optimization Models
- Resource optimization
- Route and network optimization
- Cost and efficiency optimization
Production Machine Learning (MLOps)
Implement scalable MLOps pipelines including:
- Model training pipelines
- Feature stores
- Model registry
- Model monitoring and drift detection
- Continuous retraining pipelines
- Experiment tracking and A/B testing
Example tools:
- Python
- PyTorch / TensorFlow
- XGBoost / LightGBM
- Spark ML
- MLFlow
- Kubeflow
- Azure ML / Vertex AI / AWS SageMaker
Advanced Analytics & AI
- Develop intelligent analytics systems using:
Graph Analytics
- Knowledge graph modeling
- Relationship analysis across entities
AI and Intelligent Systems
- Autonomous decision systems
- AI-driven operational insights
Real-Time Intelligence
- Streaming analytics
- Event-driven prediction systems
Cross Functional Collaboration
Partner with multiple teams including:
- Data Engineering
- Platform Engineering
- Product Management
- Business Intelligence teams
- Operations teams
Translate analytical insights into scalable product capabilities and operational improvements.
Data Governance & Model Quality
- Ensure high quality and trustworthy AI systems by implementing:
- Model explainability practices
- Bias detection and mitigation
- Data lineage tracking
- Compliance with enterprise data governance standards
- Continuous monitoring of model performance
Who You Are
- Education: Master’s or PhD in: Data Science/Computer Science/ Statistics/ Applied Mathematics/ Artificial Intelligence.
- 8 years of experience in data science or machine learning
- 3 years leading data science initiatives or teams
- Experience deploying production machine learning systems
Technical Skills
Programming
- Python
- SQL
- Spark / PySpark
Machine Learning
- Supervised learning
- Time series forecasting
- Clustering and segmentation
- Deep learning
Platforms
- Cloud platforms (Azure, AWS, or GCP)
- Data platforms (Databricks, Snowflake, Fabric, or similar)
- Kubernetes or containerized deployments
Data Systems
- Data lakes and warehouses
- Streaming data pipelines
- Feature engineering pipelines
Preferred Experience
- Large-scale enterprise data platforms
- Real-time analytics systems
- Knowledge graph or graph analytics platforms
- Vector search and embedding models
- AI-driven decision systems
The Benefits of Working Here
A career with ORBCOMM offers a unique opportunity to grow your skills and expand your expertise in a collaborative, innovative environment. Beyond being part of an exceptional team, we provide a competitive, locally relevant benefits package designed to support our employees around the world. Benefits vary by location and include health and wellness coverage, paid time off, retirement or savings programs, flexible work arrangements, insurance coverage, lifestyle perks, and access to employee discounts—helping you thrive both professionally and personally.
How We Hire
ORBCOMM uses technology-enabled tools, including artificial intelligence (AI), to support parts of the recruitment process. All hiring decisions are made by people, as part of our human-led, tech-enabled culture.
About Us
At ORBCOMM, we’re pioneers in IoT technology that drives innovation and empowers our clients to make data-driven decisions. Our industry-leading solutions enable customers to boost productivity, streamline operations, and increase their bottom line. With over 30 years of experience and the most comprehensive solution portfolio in the industry, we enable the management of millions of assets worldwide across diverse sectors, including transportation, heavy industries, satellite, and maritime. Discover how ORBCOMM is transforming industries and unlocking the potential of data to drive meaningful change at www.orbcomm.com!
Ready to Join Us?
We believe that our people are our greatest asset. Your skills and passion can help us achieve remarkable things! If you’re seeking a thrilling career opportunity in a vibrant, growth-oriented environment, ORBCOMM is the perfect fit for you.
We are committed to building a diverse and inclusive workplace and appreciate all applicants for their interest in joining our team. Only candidates selected for an interview will be contacted.
At ORBCOMM, we are also dedicated to ensuring accessibility and are pleased to offer accommodations for individuals with disabilities upon request throughout all aspects of the selection process.