Senior Data Scientist

DS STREAM

Bengaluru

Hybrid

INR 1,200,000 - 1,800,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation package

Global exposure on leading projects

Opportunity to shape AI strategy

Job summary

DS STREAM is seeking a passionate Data Scientist in Bangalore, Karnataka. In this role, you will utilize statistical methods and machine learning algorithms to deliver insights and develop predictive models. Ideal candidates should have 5-8 years of experience in Python and machine learning, advanced SQL skills, and a proven track record in predictive modeling and recommendation systems. Join a senior team with an innovative culture, competitive compensation, and the chance to shape AI strategies in India.

Qualifications

5-8 years of strong proficiency in Python and machine learning libraries.
Experience with predictive modeling and optimization techniques.
Advanced SQL skills for handling large datasets.

Responsibilities

Build and maintain machine learning models for predictive analytics.
Develop recommendation systems to support data-driven decisions.
Conduct data quality audits and prepare data for modeling.

Skills

Python

Machine Learning libraries (scikit-learn, TensorFlow/PyTorch)

Predictive modeling

Recommendation systems

Time series analysis

SQL

Google Cloud Platform

Job description

About DS STREAM

DS STREAM is a global data and AI consulting company with 9 years of experience delivering advanced analytics and AI solutions to leading brands across FMCG, Retail, E-commerce, Healthcare, and Telecommunications. With 160+ professionals and 120+ projects delivered, we specialize in Machine Learning, Generative AI, and Data Engineering. We recently expanded to India (Bangalore) to bring our European AI expertise and innovation to new frontiers, working with cutting‑edge technologies to solve complex business challenges.

Role Overview

We are looking for a talented and passionate Data Scientist to join our team. In this role, you will leverage statistical methods, machine learning algorithms, and data analysis techniques to extract actionable insights and support data‑driven decision‑making. You will work closely with cross‑functional teams to develop predictive models and solve complex business problems using data.

Key Responsibilities

Build and maintain machine learning models for predictive analytics, optimization, and forecasting.
Develop recommendation systems and algorithms to support data‑driven decisions.
Process and enhance datasets, including feature engineering and computer vision tasks (e.g., image analysis).
Conduct data quality audits, ensure dataset integrity, and prepare data for modeling.
Design and run proof‑of‑concept experiments to validate assumptions and key performance indicators.
Collaborate with teams and stakeholders to refine requirements, interpret results, and deliver actionable insights.

Required Skills

Strong proficiency of 5-8 years in Python and ML libraries (scikit‑learn, TensorFlow/PyTorch).
Experience with predictive modeling, recommendation systems, and optimization techniques.
Proven track record in anomaly detection, time series and statistics.
Advanced SQL skills and ability to handle large, complex datasets.
Full ML lifecycle expertise (data prep, training, validation, tuning, evaluation).
Proven ability to communicate technical findings to non‑technical audiences.
Experience with Google Cloud Platform.

Nice to Have

Cloud or Data Engineering certifications or specialization certifications (e.g. Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate Exam AI‑102, AWS Certified Machine Learning Specialty (MLS‑C01), Databricks Certified Machine Learning).
Contributions to open‑source AI projects.
Experience with Agile/Scrum methodologies.

What We Offer