BHIVE Workspace - No.112, AKR Tech Park, "A" Block, 7th Mile Hosur Rd, Krishna Reddy Industrial Area, Bengaluru, Karnataka 560068
+91 9900015053 office@habitnu.com
Full Time
On-Site
India
Job Overview
We are seeking a Data Scientist with experience to design scalable data products and predictive models using Python, MongoDB, and machine learning techniques. In this role, you will extract and process large datasets, develop AI/ML models, and build interactive dashboards with Tableau/Power BI to support data-driven decision-making. You will work closely with cross-functional teams to translate complex business challenges into actionable insights, ensuring data quality and effective communication of technical concepts to non-technical stakeholders.
Key Responsibilities
View data as a product—designing scalable, well-documented, and reusable data assets to enable analytics and AI-driven decision-making.
Extract, clean, and process large datasets from MongoDB and other enterprise systems.
Develop predictive models and machine learning algorithms for forecasting & Pattern Recognition
Build and optimize AI/ML models that support personalised recommendations, behavioural insights, and digital health solutions for lifestyle management.
Utilize Python for data analysis, statistical modeling, and machine learning implementation.
Develop and maintain interactive dashboards and reports using Tableau/Power BI to enable real-time decision-making.
Ensure data integrity, validation, and quality checks to maintain high standards of accuracy and reliability.
Collaborate with cross-functional teams to transform business problems into data-driven solutions.
Communicate complex technical insights to non-technical stakeholders through effective storytelling and visualization.
Stay up to date with the latest advancements in AI, ML, and lifestyle-focused health analytics.
Required Skills and Qualifications
4-5 years of experience in data science, AI, and machine learning.
Proficiency in Python for data manipulation, modeling, and ML implementation.
Strong experience working with MongoDB and extracting data effectively.
Expertise in predictive analytics, statistical modeling, and machine learning techniques.
Hands-on experience with SQL for querying and managing structured data.
Proficiency in Tableau/Power BI for data visualization and reporting.
Deep understanding of data governance, data quality, and scalable data architecture.
Strong problem-solving skills and the ability to work with complex datasets.
Excellent communication skills to bridge the gap between data science and business teams.
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
Preferred Qualifications
Experience in healthcare or health tech, working with digital health platforms, wearable data, or health analytics related to lifestyle management.
Knowledge of MLOps, model deployment, and cloud platforms like AWS, GCP, or Azure.
Experience with big data technologies (Spark, Databricks, Hadoop).
Exposure to NLP, deep learning, or advanced AI techniques in health-related applications.
Understanding of regulatory considerations in healthcare analytics (e.g., HIPAA, HITRUST).
