Senior Analyst - Data Science

LatentView; Chennai District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

LatentView in Chennai, India invites a Senior Analyst - Data Science to build risk ML predictive models and validate results end-to-end. You will work as an individual contributor, interacting with clients and documenting findings, with 3–5 years of hands-on experience in data science and analytics.

The role focuses on data extraction using SQL, applying ML and statistical techniques, regression analysis, and interpreting model inputs to deliver robust insights for client projects in a

Qualifications

• Data extraction using SQL.
• ML and Statistical modelling techniques.
• Regression analysis.
• Understanding predictive model inputs, and validating model outputs.
• Interpreting, validating and documenting results/findings.
• Direct client interaction and independent work as IC.

Responsibilities

• Data extraction using SQL.
• SAS, Python, and GCP (good to have).
• ML and Statistical modelling techniques.
• Regression analysis.
• Understand predictive model inputs and validate outputs.
• Interpret, validate and document results/findings.
• Interact with clients and manage work as an individual contributor.

Skills

Data extraction using SQL

ML and Statistical modelling

Regression analysis

Understanding predictive model inputs

Interpreting results

Client interaction (IC)

Tools

SAS

Python

GCP

Job description

Designation : Senior Analyst - Data Science

Level : L2

Location : Chennai, Tamilnadu, India

Experince : 3 to 5 years

Job Role : Building risk ML Predictive models and perform validation and documenting the results

Responsibilities

Resource should have to execute below responsibilities

• 1. Data extraction using SQL
• 2. SAS, Python,GCP (good to have)
• 3. ML and Statistical modelling techniques
• 4. Regression analysis
• 6. Ability to understand predictive model inputs, and validate model outputs
• 7. Ability Interpret, validate and document the results/findings
• 8. Directly interacting with the client and managing the work as individual contributor

Required skills

• 1. Data extraction using SQL
• 3. ML and Statistical modelling techniques
• 4. Regression analysis
• 6. Ability to understand predictive model inputs, and validate model outputs
• 7. Ability Interpret, validate and document the results/findings
• 8. Directly interacting with the client and managing the work as individual contributor