Data Scientist

Sagility; Bengaluru; Hybrid; INR 2,400,000 - 4,800,000; Full time

Job summary

Sagility in Bengaluru, India, seeks an experienced Data Scientist to build data-driven solutions and deliver actionable business insights using Advanced Analytics, Machine Learning and AI.

The ideal candidate should have 6+ years of experience, strong hands-on Python and SQL skills, and focus on US Healthcare. You will collaborate with stakeholders to translate requirements into impactful data solutions and deliver dashboards and reports to communicate insights.

Qualifications

• 6+ years of experience in Data Science / ML / US Healthcare.
• Strong programming skills in Python.
• Strong hands-on experience with SQL.
• Solid understanding of ML algorithms and data mining.
• Ability to translate business requirements into technical solutions.

Responsibilities

• Analyze large and complex datasets to identify trends and opportunities.
• Build, train, evaluate, and deploy ML models for predictive analytics.
• Develop and maintain data pipelines and analytical models using Python and SQL.
• Work on AI/ML use cases to improve decision-making.
• Collaborate with stakeholders to translate requirements into technical solutions.
• Perform data cleaning, preprocessing, feature engineering, and model evaluation.
• Develop dashboards, reports, and presentations to communicate insights.
• Ensure data quality and consistency across data sources.
• Collaborate with cross-functional teams for end-to-end delivery.
• Stay updated on advances in Data Science, ML, AI, and US Healthcare.

Skills

Python

SQL

Machine Learning

US Healthcare

Data Analysis

Problem solving

Communication

Analytical thinking

Feature engineering

Tools

Databricks

Job description

We are looking for an experienced Data Scientist with 6+ years of experience in building data-driven solutions and delivering actionable business insights through Advanced Analytics, Machine Learning, and AI. The ideal candidate should have strong hands-on expertise in Python, SQL, Machine Learning, and US Healthcare, along with the ability to work closely with business stakeholders to understand requirements and translate them into impactful data solutions.

Key Responsibilities

• Analyze large and complex datasets to identify trends, patterns, and business opportunities.
• Build, train, evaluate, and deploy Machine Learning models for predictive and prescriptive analytics.
• Develop and maintain data pipelines, analytical models, and solutions using Python and SQL.
• Work on AI/ML use cases to address business challenges and improve decision-making.
• Collaborate with business stakeholders to understand requirements and translate them into technical solutions.
• Perform data cleaning, preprocessing, feature engineering, and model evaluation.
• Develop dashboards, reports, and presentations to effectively communicate insights.
• Ensure data quality, accuracy, and consistency across multiple data sources.
• Collaborate with Engineering, Product, Business, and other cross-functional teams for end-to-end solution delivery.
• Stay current with advancements in Data Science, Machine Learning, AI, and US Healthcare.

Required Skills

• 6+ years of experience in Data Science / Machine Learning / US Healthcare.
• Strong programming skills in Python.
• Strong hands-on experience with SQL.
• Solid understanding of Machine Learning algorithms, including Regression, Classification, Clustering, Forecasting, Neural Networks, and related techniques.
• Knowledge of statistical modeling and data mining.
• Strong analytical, problem-solving, and critical-thinking skills.Ability to understand business requirements and convert them into effective technical solutions.

Good to Have

• Experience with Databricks.
• Exposure to Business Analysis and Stakeholder Management.
• Knowledge of cloud platforms and big data technologies.
• Experience with data visualization and reporting tools.
• Strong business acumen with the ability to bridge the gap between technical and functional teams.
• Self-driven, proactive, and comfortable working in a fast-paced environment.
• Excellent communication and stakeholder management skills.
• Strong ownership and ability to deliver solutions independently and collaboratively.

Work Mode: Hybrid - 2-3 Days Work From Office

Shift Timing: 2:00 PM - 11:00 PM

Notice Period: Immediate to 15 Days

Interview Process: 2nd round should be flexible to attend In person interview at Sagility office.