Data Scientist IV

Astreya; India; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Astreya is seeking an experienced Data Scientist IV in India to design, develop, and deploy methods and systems that convert diverse, large-scale data into actionable insights. You will lead modeling, data analysis, and visualization efforts, collaborating with product teams to drive data-driven decisions.

Responsibilities include building scalable data pipelines, mentoring teammates, and communicating results to executives. Strong expertise in Python, ML, and cloud platforms is required.

Qualifications

• Requires a Bachelor's degree with 8+ years of related experience or equivalent.
• Strong ability to analyze large, complex data sets and produce actionable insights.
• Experience with Big Data and creating dashboards / reports using analytics tools.

Responsibilities

• Lead development and coding of data processing and analytics pipelines to ingest and clean large datasets.
• Identify meaningful insights from data and communicate findings to product and business leaders.
• Build predictive models and ML algorithms; create data visualizations for stakeholders.
• Mentor team members and collaborate with data engineers and product teams to improve data systems.
• Perform QA on data and datasets, ensuring data quality and gaps are identified.

Skills

Analytical skills

Communication

Problem solving

Big Data / EDA

Education

Bachelor's degree

Master's degree (preferred)

Tools

Python

SQL

TensorFlow

R

GCP

AWS

Azure

Job description

What This Job Entails

The Data Scientist IV designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions. The hire will be responsible for statistical modeling, and analysis of structured and unstructured datasets to develop metrics, reports, and visualizations of trends and patterns.

Scope

• Uses professional concepts and company objectives to resolve complex issues in creative and effective ways
• Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors

Your Roles And Responsibilities

• Leads in the development and coding of software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources
• Identifies meaningful insights from large data and metadata sources
• interprets and communicates insights and findings from analysis and experiments to product, service, and business managers
• Propose solutions and strategies to business challenges and presents to the executive board
• Create data visualizations
• Leads and mentors others on the team
• Build predictive models and machine-learning algorithms
• Troubleshoot and test database technical issues with development team
• Independently analyze data sets to identify opportunities for increased accuracy and efficiency
• Perform quality assurance on data to determine potential data gaps
• Assemble large, complex data sets that meet functional / non-functional business
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Other duties as required. This list is not meant to be a comprehensive inventory of all responsibilities assigned to this position

Required Qualifications/Skills

• Bachelor’s degree (B.S/B.A) from four-college or university and 8+ years’ related experience and/or training; or equivalent combination of education and experience
• Demonstrates good judgment in selecting methods and techniques for obtaining solutions
• Networks with key contacts outside own area of expertise
• Excellent analytical skills, tenacious problem solver with strong verbal communication skills
• Experience working with Big Data to provide EDA to senior team leads
• SQL skills; including creating and modifying macros, as well as creating dashboards using SQL coding
• Excellent written communication skills
• High level of attention to detail
• Ability to independently analyze large amounts of data; including the ability to identify, analyze, and interpret trends, gaps, patterns in complex data sets
• Proficient in data engineering on GCP, AWS, and Azure, as well as in Python, R, and TensorFlow
• Experience using AI/ML and Generative AI for Analytics, Modelling and data science

Preferred Qualifications

• Master’s Degree in Business Administration, Computer Science, Mathematics, or related field

Physical Demand & Work Environment

• Must have the ability to perform office-related tasks which may include prolonged sitting or standing
• Must have the ability to move from place to place within an office environment
• Must have the ability to use a computer
• Must have the ability to communicate effectively
• Some positions may require occasional repetitive motion or movements of the wrists, hands, and/or fingers