Data Sciences Specialist ( 5-7 Years Exp ) – Pune

HypTechie; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

HypTechie is seeking a Data Scientist in Pune to analyze large datasets, build predictive models, and translate insights into business actions.

The role requires strong Python/R/SQL skills, data wrangling, ML know-how, and experience with AWS/Azure and Spark ecosystems. You will create dashboards and collaborate across teams to drive measurable business impact.

Qualifications

• Bachelor’s or higher in a quantitative field
• 3+ years in data science/analytics
• Experience with ML models and predictive analytics
• Proficient in Python/R/SQL and data viz tools
• Experience with cloud platforms and big data frameworks
• Able to translate business problems into data-driven solutions

Responsibilities

• Analyze large datasets and develop predictive models
• Translate insights into strategic business actions
• Build and maintain dashboards in Tableau/Power BI
• Collaborate with engineering, product, and business teams
• Develop automation and data pipelines
• Stay updated on data science advances

Skills

Python

R

SQL

Tableau

Power BI

PySpark

Statistics

Education

Bachelor's degree in Data Science, Computer Science, Statistics, or related field

3+ years of experience in data science or analytics

Master’s or PhD in a relevant field preferred

Tools

AWS/Azure

Hadoop

Spark/PySpark

Job description

Job ID: 801022 Job Type: Permanent Experience: 5 – 7 Years Work Location: Pune, India

Role Overview:

We are seeking a highly skilled and motivated Data Scientist to join our client’s team. The ideal candidate will be responsible for analyzing large datasets, developing predictive models, and translating data insights into strategic business decisions. This role blends analytical expertise, technical skills, and business acumen to deliver measurable impact.

Key Responsibilities:

• Data Collection & Preparation: Gather data from multiple sources, clean, transform, and preprocess for analysis.
• Exploratory Data Analysis (EDA): Identify trends, patterns, and anomalies in structured and unstructured datasets.
• Model Development: Build, train, and validate machine learning and statistical models to address complex business challenges.
• Predictive Analytics: Use advanced techniques to forecast business outcomes and support decision-making.
• Data Visualization: Design and maintain dashboards and visual reports using Tableau or Power BI to communicate insights effectively.
• Automation & AI Integration: Develop scripts, pipelines, and automation tools to enhance data workflows and integrate AI-driven solutions.
• Collaboration: Partner with engineering, product, and business teams to align data science initiatives with organizational goals.
• Continuous Learning: Stay updated on emerging tools, technologies, and methodologies in data science and AI.

Required Skills & Qualifications:

• Strong proficiency in Python, R, SQL, and data visualization tools (Tableau, Power BI).
• Solid understanding of statistics, machine learning algorithms, and data wrangling techniques.
• Experience with cloud platforms such as AWS or Azure, and big data frameworks (Hadoop, Spark, or PySpark).
• Excellent communication and storytelling skills for presenting technical insights to non-technical audiences.
• Proven ability to translate business problems into data-driven solutions.

Education & Experience:

• Bachelor’s degree in Data Science, Computer Science, Statistics, or related quantitative field.
• 3+ years of experience in data science or analytics roles.
• Master’s or Ph.D. in a relevant field is an added advantage.
• Demonstrated experience in delivering impactful, data-driven insights and business value.

Mandatory Skills:

• PySpark – Data Science
• Statistics – Data Science