Data Scientist, AIML

Jobtailor; Pune District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Jobtailor in Pune, India is seeking an experienced data scientist to develop predictive, statistical, and ML models addressing business challenges.

You will perform exploratory data analysis, prepare and transform data, and translate business requirements into actionable analytical solutions. Collaboration with data engineers and business SMEs is essential to deliver trusted insights and drive data-driven decisions.

Qualifications

• 6-8 years of experience in data science or analytics.
• Proficiency in Python, R, and SQL.
• Strong knowledge of ML/AI and statistical modeling.
• Experience with Power BI for data visualization.
• Experience with feature engineering and data mining.
• Experience with Snowflake and Databricks data platforms.
• Experience with cloud analytics on Azure, AWS, and GCP.

Responsibilities

• Develop predictive, statistical, and ML models to address business challenges.
• Perform exploratory data analysis to identify trends, risks, and opportunities.
• Prepare, clean, and transform data for analytics.
• Translate business requirements into analytical solutions.
• Communicate findings to technical and business audiences.
• Evaluate emerging AI/ML technologies and contribute to analytics innovation.
• Collaborate with data engineers, architects, and business SMEs to deliver solutions.
• Promote data science best practices and continuous improvement.
• Deliver actionable business insights and drive adoption of analytics.
• Ensure accuracy and effectiveness of predictive models.
• Generate quantifiable business value through data-driven initiatives.

Skills

Python

R

SQL

Machine Learning

Statistical Modeling

Data Visualization

Feature Engineering

Data Mining

Cloud Analytics

Power BI

Snowflake

Databricks

Azure

AWS

GCP

Tools

Power BI

Snowflake

Databricks

Azure

AWS

GCP

Job description

• Develop predictive, statistical, and machine learning models to address business challenges
• Perform exploratory data analysis to identify trends, risks, and opportunities
• Prepare, clean, and transform structured and unstructured data for analytics
• Translate business requirements into analytical solutions and decision-support models
• Communicate analytical findings and recommendations to technical and business audiences
• Evaluate emerging AI/ML technologies and contribute to analytics innovation
• Collaborate with data engineers, architects, and business SMEs to ensure successful solution delivery
• Promote data science best practices and continuous improvement across the organization
• Deliver actionable business insights
• Ensure accuracy and effectiveness of predictive models
• Drive adoption of analytics solutions by business users
• Generate quantifiable business value through data-driven initiatives

Requirements

• 6-8 years of experience
• Proficiency in Python, R, and SQL
• Knowledge of Machine Learning and Artificial Intelligence
• Experience with Statistical Modeling and Predictive Analytics
• Experience with Data Visualization using Power BI
• Knowledge of Feature Engineering and Data Mining
• Experience with Snowflake and Databricks data platforms
• Experience with cloud analytics platforms including Azure, AWS, GCP, and Snowflake

Core Competencies

Demonstrates expertise in developing predictive models and performing exploratory data analysis to drive business insights. Proficient in Python, R, SQL, and cloud analytics platforms, with a strong focus on machine learning and data visualization.

Highest-signal resume keywords

• Predictive Modeling
• Machine Learning
• Data Visualization
• Python Programming
• SQL Proficiency

ATS Optimization Keywords

Hard Skills

• Statistical Modeling
• Predictive Analytics
• Feature Engineering
• Data Mining
• Exploratory Data Analysis

Soft Skills

• Communication
• Collaboration
• Continuous Improvement

Industry Keywords

• Data Science
• AI
• Analytics Innovation
• Business Insights
• Data-Driven Initiatives

Tools & Technologies

• Power BI
• Snowflake
• Databricks
• Azure
• AWS
• GCP