Senior Data Scientist - Transportation and Logistics

Chennai, Bangalore, Hyderabad

Job Description

Job Title: Senior Data Scientist

Locations: Chennai | Hyderabad | Bangalore

Notice Period: Immediate / Less than 15 days

Who we are

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.

We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine

Curious about the role? What your typical day would look like?

We are seeking a highly experienced and domain-focused Senior Data Scientist to lead advanced analytics and machine learning initiatives with transportation and logistics operations experience. The ideal candidate will have deep expertise applying data science methodologies to solve complex transportation challenges, a proven ability to leverage PySpark on Azure/Databricks for scalable solutions, and a track record of delivering measurable business impact.

Key Responsibilities

Domain Leadership & Modeling: Lead the design, development, and deployment of sophisticated predictive and prescriptive models specifically for the transportation domain (e.g., route optimization, demand forecasting, predictive maintenance for fleet, network efficiency, logistics planning, and anomaly detection).
Big Data & Cloud Implementation: Architect and implement scalable machine learning workflows and ETL processes utilizing PySpark within the Azure ecosystem (e.g., Azure Synapse, Azure Data Lake Storage).
Databricks Expertise: Serve as the technical expert for developing and executing data science notebooks and ML pipelines on Databricks, ensuring optimized performance and cost efficiency.
Collaboration & Strategy: Partner closely with operations, engineering, and business intelligence teams to identify high-impact analytical opportunities and translate complex business problems into clear data science initiatives.
MLOps & Production: Establish and maintain robust MLOps practices, including model versioning, continuous integration/continuous deployment (CI/CD), and monitoring of production models deployed in the cloud environment.
Data Analysis & Storytelling: Conduct in-depth analysis of transportation data, providing actionable insights and communicating complex technical findings and their business value to both technical and executive stakeholders.

Qualifications

Experience: 5+ years of progressive professional experience in a Data Scientist or Machine Learning Engineer role.

Domain Expertise: Mandatory 3+ years of experience working specifically within the Transportation, Logistics, Supply Chain, or Fleet Management industry.

Technical Stack:

Expert proficiency in Python and its data science ecosystem (e.g., pandas, NumPy, scikit-learn, TensorFlow/PyTorch).
Advanced proficiency in PySpark for large-scale data processing and machine learning model development.
Expert experience with Azure cloud services relevant to data science (e.g., Azure ML, Azure Data Factory, Azure Data Lake Storage, Azure Synapse).
Mandatory expertise working with Databricks (Delta Lake, MLflow) for model training, tracking, and deployment.
Strong SQL skills for data querying and manipulation.

Education: Bachelor's or Master's degree in a quantitative field (e.g., Data Science, Computer Science, Operations Research, Engineering).

Skills:

Proven ability to work with unstructured and distributed data sources common in the transportation sector (telematics, GIS/location data, sensor data).
Excellent written and verbal communication skills, capable of presenting complex results to a non-technical audience.
Demonstrated experience delivering production-ready machine learning solutions with measurable business impact.

You are important to us, let’s stay connected!

Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.

Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.

Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities.