Lead II - Data Science

Actively Reviewing the Applications

UST

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

Posted 3 days ago • Apply by June 3, 2026

Job Description

Role Description

Role Proficiency:

Independently provides expertise on data analysis techniques using software tools; streamlining business processes and managing team

Outcomes

Managing and designing the reporting environment including data sources security and metadata.
Providing technical expertise on data storage structures data mining and data cleansing.
Supporting the data warehouse in identifying and revising reporting requirements.
Supporting initiatives for data integrity and normalization.
Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
Synthesize both quantitative and qualitative data into insights
Generating reports from single or multiple systems.
Troubleshooting the reporting database environment and reports.
Understanding business requirements and translating it into executable steps for the team members.
Identify and recommend new ways to streamline business processes
Illustrates data graphically and translates complex findings into written text.
Locating results to help the clients make better decisions. Get feedback from clients and offer to build solutions based on the feedback.
Review the team’s deliverables before sending final reports to stakeholders.
Support cross-functional teams with data reports and insights on data.
Training end users on new reports and dashboards.
Set FAST goals and provide feedback on FAST goals of reportees

Measures Of Outcomes

Quality - number of review comments on codes written
Accountable for data consistency and data quality.
Number of medium to large custom application data models designed and implemented
Illustrates data graphically and translates complex findings into written text.
Number of results located to help clients make informed decisions.
Attention to detail and level of accuracy.
Number of business processes changed due to vital analysis.
Number of Business Intelligent Dashboards developed
Number of productivity standards defined for project
Manage team members and review the tasks submitted by team members
Number of mandatory trainings completed

Outputs Expected

Determine Specific Data needs:

Work with departmental managers to outline the specific data needs for each business method analysis project

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

Creates efficient and reusable SQL code meant for the improvement manipulation and analysis of data.
Creates efficient and reusable code. Follows coding best practices.

Create/Validate Data Models

Builds statistical models; diagnoses validates and improves the performance of these models over time.

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

Code Versioning

Organize and manage the changes and revisions to code. Use a version control tool like git bitbucket. etc.

Create Reports

Create reports depicting the trends and behaviours from the analysed data

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 to project related reporting standards/process

Skill Examples

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 the numbers trends and data and come to new conclusions based on the findings.
Presentation Skills - reports and oral presentations to client
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
Proactively ask for and offer help

Knowledge Examples

Knowledge Examples

Database languages such as SQL
Programming language such as R or Python
Analytical tools and languages such as SAS & Mahout.
Proficiency in MATLAB.
Data visualization software such as Tableau or Qlik or Power BI.
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 also sub domain where problem is solved

Additional Comments

ROLE: Mid Level Data Scientist REQUIREMENT:

Professional experience of 5-7 years in business analysis, requirement gathering, solution workflow design for AI/ML/Analytics project
Experience in programming skills in Python and SQL
Strong understanding of ML libraries and applications e.g., Time series analysis, Neural Net, SVMs, boosting methods and implementation using Python
Experience in Deep learning techniques
Excellent Communication skills to effectively collaborate with business SMEs, UX team
Intermediate knowledge with Dev Ops practices, including CICD, Automation, Build Management, and Versioning
Understanding of Cloud services, including Microsoft Azure, GCP or Amazon Web Service
Experience in LLM/Gen AI – Prompt Engineering, RAG and parameter hypertuning
Experience in Pyspark will be an added advantage RESPONSIBILITIES:
Excellent problem solving, Critical and Analytical thinking skills and hands on coding skills
Proficient in Data fetch, data merge, data wrangling, exploratory data analysis and feature engineering
Python, SQL Skills with working knowledge of machine learning algorithms
Drive client engagement fully and align the development team towards a technical roadmap
Implements analytical requirements by defining and analysing system problems; designing and testing standards and solutions
Develops solution by preparing and evaluating alternative workflow solutions
Determines operational objectives by studying business functions; gathering information; evaluating output requirements and formats
Designs new analytical solutions by analysing requirements; constructing workflow charts and diagrams; studying system capabilities; writing specifications
Improves systems by studying current practices; designing modifications
Recommends controls by identifying problems; writing improved procedures
Defines project requirements by identifying project milestones, phases, and elements; forming project team; establishing project budget
Monitors project progress by tracking activity; resolving problems; publishing progress reports; recommending actions
Maintains system protocols by writing and updating procedures
Provides references for users by writing and maintaining user documentation; providing help desk support; training users
Maintains user confidence and protects operations by keeping information confidential
Prepares technical reports by collecting, analysing, and summarizing information and trends
Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies