Machine Learning Engineer - US Healthcare

We are looking for an experienced Data Scientist with 6+ years of experience in building data-driven solutions and deriving business insights through advanced analytics, machine learning, and AI techniques. The ideal candidate should have strong hands-on experience in Python, SQL, Machine Learning, and AI, along with the ability to work closely with business stakeholders to understand requirements and deliver impactful solutions.

Key Responsibilities:

• Analyze large and complex datasets to identify trends, patterns, and business opportunities
• Build, train, and deploy Machine Learning models for predictive and prescriptive analytics
• Develop and maintain data pipelines, models, and analytical solutions using Python and SQL
• Work on AI/ML use cases to solve business problems and improve decision-making
• Collaborate with business teams to gather requirements, understand pain points, and translate them into data solutions
• Perform data cleaning, preprocessing, feature engineering, and model evaluation
• Create dashboards, reports, and presentations to communicate insights to stakeholders
• Ensure data quality, accuracy, and consistency across different sources
• Work with cross-functional teams including engineering, product, and business teams for end-to-end solution delivery
• Stay updated with the latest advancements in Data Science, Python and Machine Learning

Required Skills:

• 6+ years of experience in Data Science / Machine Learning / US Healthcare
• Strong programming experience in Python
• Strong hands-on experience in SQL
• Knowledge of machine learning algorithms (regression, clustering, forecasting, classification, neural network etc.), statistical modeling, and data mining techniques.
• Strong proficiency in Python for data analysis.
• Strong problem-solving and critical-thinking skills.
• Ability to understand business requirements and convert them into technical solutions

Good to Have:

• Experience working with Databricks
• Exposure to Business Analysis / stakeholder management
• Knowledge of cloud platforms and big data technologies
• Experience with data visualization/reporting tools

Preferred Candidate Profile:

• Strong business understanding with the ability to bridge the gap between technical and functional teams
• Self-driven and capable of working in a fast-paced environment
• Good communication and stakeholder management skills

Location: Bangalore
Work Mode: Hybrid (2 to 3 Days Work From Office in a week)
Shift Timing: 2 PM 11 PM
Experience: 6+ Years
Notice Period: Immediate to 15 Days
Interview Process: 3 Technical Rounds( final round is F2F interview)

Regards,

[email removed]