Data Scientist

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. Experience in Databricks and Business Analysis will be an added advantage.

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, AI, and Machine Learning

Required Skills:

• 6+ years of experience in Data Science / Machine Learning / AI
• 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

Work Mode: Hybrid (23 Days Work From Office)
Shift Timing: 2 PM – 11 PM
Experience: 3+ Years
Notice Period: Immediate to 15 Days
Interview Process: 3 Technical Rounds

Regards,

[email removed]