Data Scientist - Network Design

Chennai, Bangalore, Hyderabad

Job Description

Job Title: 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 Data Scientist specializing in network design and graph-based modeling. The ideal candidate will have expertise in applying graph theory and optimization techniques and experience of using NetworkX to solve large-scale supply chain, logistics, or network problems, 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: Design and implement network optimization models for distribution, supply chain, or connectivity planning. Apply graph theory algorithms to real-world datasets.
Big Data & Cloud Implementation: Utilize PySpark to process, clean, and engineer features from massive, distributed datasets.
Databricks: Experience developing and executing data science notebooks and ML pipelines on Databricks, ensuring optimized performance and cost efficiency.
Collaboration: Work closely with cross-functional teams, including data engineering, business intelligence, and business leaders, to understand requirements and ensure solutions align with business goals.
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: Leverage graph databases and visualization tools for analysis and insights.

Qualifications

Experience: 3+ years of professional experience in a Data Scientist or Machine Learning Engineer role.

Domain Expertise: Mandatory 3+ years of experience working specifically within the Supply Chain industry.

Technical Stack:

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.
Experience with Azure cloud services relevant to data science (e.g., Azure ML, Azure Data Factory, Azure Data Lake Storage, Azure Synapse).
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:

Hands-on experience in network design and/or graph theory projects.
Strong understanding of graph algorithms, combinatorial optimization, and network flows.
Experience with NetworkX
Familiarity with supply chain network design tools (e.g., Llamasoft, AnyLogistix) is a plus.
Strong analytical, mathematical, and problem-solving skills.

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.