Specialist II - Data Science (Lead)

Actively Reviewing the Applications

UST

India, West Bengal, Kolkata Full-Time On-site

Posted 2 days ago • Apply by June 3, 2026

Job Description

Role Description

Role Proficiency:

Independently develop data-driven solutions to difficult business challenges by utilize analytical statistical and programming skills to collect analyze and interpret large data sets under supervision.

Outcomes

Work with stakeholders throughout the organization to identify opportunities for leveraging data from our customers to make models that can generate business insights
Create new experimental frameworks or build automated tools to collect data
Correlate similar data sets to find actionable results
Build predictive models and machine learning algorithms to analyse large amounts of information to discover trends and patterns.
Mine and analyse data from company databases to drive optimization and improvement of product development marketing techniques business strategies etc
Develop processes and tools to monitor and analyse model performance and data accuracy.
Develop Data Visualization and illustrations on given business problem
Use predictive modelling to increase and optimize customer experiences and other business outcomes.
Coordinate with different functional teams to implement models and monitor outcomes.
Set FAST goals and provide feedback on FAST goals of reportees

Measures Of Outcomes

Number of business processes changed due to vital analysis.
Number of Business Intelligent Dashboards developed
Number of productivity standards defined for project
Number of Prediction and Modelling models used
Number of new approaches applied to understand the business trends
Quality of data visualization done to help non-technical stakeholders comprehend easily.
Number of mandatory trainings completed

Outputs Expected

Statistical Techniques:

Apply statistical techniques like regression properties of distributions statistical tests etc. to analyse data.

Machine Learning Techniques

Apply machine learning techniques like clustering decision tree learning artificial neural networks etc. to streamline data analysis.

Creating Advanced Algorithms

Create advanced algorithms and statistics using regression simulation scenario analysis modelling etc.

Data Visualization

Visualize and present data for stakeholders using: Periscope Business Objects D3 ggplot etc.

Management And Strategy

Oversees the activities of analyst personnel and ensures the efficient execution of their duties.

Critical Business Insights

Mines the business’s database in search of critical business insights and communicates findings to the relevant departments.

Code

Creating efficient and reusable code meant for the improvement manipulation and analysis of data.

Version Control

Manages project codebase through version control tools e.g. git bitbucket etc.

Predictive Analytics

Seeks to determine likely outcomes by detecting tendencies in descriptive and diagnostic analysis

Prescriptive Analytics

Attempts to identify what business action to take

Create Reports

Creates reports depicting the trends and behaviours from the analysed data
Training end users on new reports and dashboards.

Document

Create documentation for own work as well as perform peer review of documentation of others' work

Manage Knowledge

Consume and contribute to project related documents share point libraries and client universities

Status Reporting

Report status of tasks assigned
Comply with project related reporting standards and process

Skill Examples

Excellent pattern recognition and predictive modelling skills
Extensive background in data mining and statistical analysis
Expertise in machine learning techniques and creating algorithms.
Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching.
Communication Skills: Communicate effectively with a diverse population at various organization levels with the right level of detail.
Critical Thinking: Data Analysts must look at numbers trends and data and come to new conclusions based on the findings.
Strong meeting facilitation skills as well as presentation skills.
Attention to Detail: Making sure to be vigilant in the analysis to come to correct conclusions.
Mathematical Skills to estimate numerical data.
Work in a team environment and have strong interpersonal skills to work in collaborative environment
Proactively ask for and offer help

Knowledge Examples

Knowledge Examples

Programming languages – Java/ Python/ R.
Web Services - Redshift S3 Spark DigitalOcean etc.
Statistical and data mining techniques: GLM/Regression Random Forest Boosting Trees text mining social network analysis etc.
Google Analytics Site Catalyst Coremetrics Adwords Crimson Hexagon Facebook Insights etc.
Computing Tools - Map/Reduce Hadoop Hive Spark Gurobi MySQL etc.
Database languages such as SQL NoSQL
Analytical tools and languages such as SAS & Mahout.
Practical experience with ETL data processing etc.
Proficiency in MATLAB.
Data visualization software such as Tableau or Qlik.
Proficient in mathematics and calculations.
Spreadsheet tools such as Microsoft Excel or Google Sheets
DBMS
Operating Systems and software platforms
Knowledge about customer domain and about sub domain where problem is solved
Proficient in at least 1 version control tool like git bitbucket
Have experience working with project management tool like Jira

Additional Comments

Must have -Statistical Concepts, SQL, Machine Learning (Regression and Classification), Deep Learning (ANN, RNN, CNN), Advanced NLP, Computer Vision, Gen AI/LLM (Prompt Engineering, RAG, Fine Tuning), AWS Sagemaker/Azure ML/Google Vertex AI, Basic implementation experience of Docker, Kubernetes, kubeflow, MLOps, Python (numpy, panda, sklearn, streamlit, matplotlib, seaborn)

Skills

Data Management,Data Science,Python