Senior Data Scientist

About the Company: Tundra Technical Solutions is among North America's leading providers of Information Technology, Engineering staffing and consulting services. Our success and our clients' success are built on a foundation of service excellence. Rather than continually trying to sell to new clients and companies and simply filling databases with candidates, we focus on developing stronger relationships and deeper knowledge of our existing clients' challenges and opportunities.

Tundra is a global provider of innovative staffing solutions and services. Unlike any other agency, we work as a strategic partner to the client and candidate, ever-evolving and leveraging OUR expertise to understand your needs and solve them, so you can focus on YOUR expertise.

Tundra operates with a straightforward Vision To be the number one representative of choice for top talent across the globe. Tundra understands and believes that simply finding people is not adequate. Our clients deserve the best; the right people at the right time and for the right role.

Tundras proven ability to attract, engage and maintain relationships with the most talented resources worldwide is the fuel that empowers this success. Tundra values the talent we work with, and we are invested in creating meaningful relationships, we respect your time and experience and accredit OUR success to YOURS.

Were Hiring: Senior Data Scientist at Tundra Technical Solutions

Location: Bangalore (Hybrid)

Shift: EST

Experience: 7- 12 years

Core (Must-Have) Skills

Proficiency in Python with advanced use of NumPy, Pandas, and Scikit-learn

Expertise in SQL, including complex queries and performance optimization

Strong foundation in machine learning techniques (regression, classification, clustering, ensemble methods)

Experience in data visualization (Seaborn, Plotly, Tableau, or Power BI)

Applied knowledge of statistics and probability for model development

Hands-on experience with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI)

Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI

Exposure to large-scale data processing (Spark, Hadoop)

Preferred Skills

Deep learning frameworks (TensorFlow, PyTorch)

MLOps practices (MLFlow, Kubeflow, CI/CD pipelines for ML workflows)

Data pipeline orchestration (Airflow, Prefect)

Business domain knowledge (e.g., retail, finance)

Key Activities

Preparing and preprocessing structured and unstructured data for analysis

Designing, training, and validating machine learning models

Deploying and operationalizing models in collaboration with engineering teams

Building dashboards and data-driven visual insights for stakeholders

Partnering with product and engineering teams to align models with business needs

Monitoring, optimizing, and retraining models for performance improvements

Interested? Share your CV at dmurthy@tundratechnical.com

Website : www.tundratechnical.ca

Linked in : https://www.linkedin.com/company/tundra-technical-solutions/about/