Senior data scientist

2 weeks ago

Bengaluru, India Tundra Technical Solutions Full time

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.Tundra’s 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.We’re Hiring: Senior Data Scientist at Tundra Technical SolutionsLocation: Bangalore (Hybrid)Shift: ESTExperience: 7- 12 yearsCore (Must-Have) Skills• Proficiency in Python with advanced use of Num Py, 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 Sage Maker, Azure ML, or GCP Vertex AI)• Exposure to large-scale data processing (Spark, Hadoop) Preferred Skills• Deep learning frameworks (Tensor Flow, Py Torch)• Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI• 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 improvementsInterested? Share your CV at : in :

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