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Analyst/ Sr. Analyst

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Tata Steel

15d ago

  • Job
    Full-time
    Mid & Senior Level
  • Data
    IT & Cybersecurity
  • Jamshedpur

AI generated summary

  • You should possess strong statistical knowledge, experience with ML algorithms, predictive modeling, SQL, Python, and model deployment. Familiarity with GCP, Oracle DB, and data visualization tools is a plus.
  • You will collaborate with business teams to identify opportunities, develop data solutions, preprocess data, apply modeling techniques, and mentor teams on statistics and data science methodologies.

Requirements

  • In depth statistical knowledge, good understanding of sampling, probability, distributions and scenario analysis both descriptive & inferential
  • Application knowledge of basic ML algorithms and validation processes based on dataset
  • Good exposure to predictive/prescriptive modelling, time series forecasting and recommendation systems based on state-of-art ML/DL/RL techniques
  • Expertise in model deployment in on-premise and cloud-based environment including model monitoring and its maintenance
  • Good knowledge on SQL, Database architecture, Python programming and Optimisation techniques
  • The following operation knowledge will be an added advantage
  • Data visualisation tools
  • GCP (Google Cloud Platform)
  • Oracle DB
  • AIIMS Optimisation Tool
  • Any Logic Simulation Tool
  • BE/BTech , BSc(Engineering), ME/MTech, MBA/PGDM, MCA, MSc ( Maths , Stats , OR ,Physics)
  • Must be a Full Time Course.

Responsibilities

  • Operate in collaboration with Business Teams and discover the opportunities in the Business environment, associated business risk and create solutions/platforms for the Business
  • Formulate hypothesis / insights based on requirement of Business
  • Develop different data science methodologies for the program
  • Execute program based on Business Plan
  • Develop & create solutions using Advanced Data Science tools based on requirement of Business
  • Identify and collect data required (structured and unstructured data)
  • Transform and prepare data for the Model
  • Apply multiple modelling techniques and do validation
  • Deploy and monitor a validated model in an operational environment
  • Develop/Contribute by teaching and mentoring Business teams with basics of statistics concepts and methods essential to find structure in data and continuously develop and update herself/himself with application knowledge of advanced data science tools and techniques

FAQs

What educational qualifications are required for this position?

Candidates should have a BE/BTech, BSc (Engineering), ME/MTech, MBA/PGDM, MCA, or MSc (Math, Stats, OR, Physics) from a full-time course.

What are the core responsibilities of the Analyst/Sr. Analyst role?

The core responsibilities include collaborating with Business Teams to identify opportunities and risks, formulating hypotheses, developing data science methodologies, executing business programs, and mentoring business teams on statistical concepts.

What skills are essential for this role?

Essential skills include in-depth statistical knowledge, application knowledge of basic machine learning algorithms, exposure to predictive/prescriptive modeling, forecasting, and knowledge of SQL, Python programming, and optimization techniques.

Are there any preferred additional skills for candidates?

Yes, preference will be given to candidates with knowledge in data visualization tools, GCP (Google Cloud Platform), Oracle DB, AIIMS Optimization Tool, and Any Logic Simulation Tool.

What kind of data will I be working with in this role?

You will be working with both structured and unstructured data, collecting and preparing it for modeling purposes.

Will I be required to deploy models?

Yes, you will need to deploy and monitor validated models in both on-premise and cloud-based environments.

Is mentoring a part of this job's responsibilities?

Yes, part of the role involves teaching and mentoring business teams on the basics of statistical concepts and methods.

What methodologies should I be familiar with?

Familiarity with different data science methodologies, statistical analysis, machine learning algorithms, and validation processes is required.

What types of modeling techniques should I expect to use?

You will apply multiple modeling techniques, including predictive/prescriptive modeling, time series forecasting, and recommendation systems.

Is there any specific programming expertise required?

Yes, a good knowledge of Python programming and SQL is required, along with database architecture and optimization techniques.

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Tata Steel

Together we make the difference

Energy
Industry
10,001+
Employees
1907
Founded Year

Mission & Purpose

Tata Steel is one of Europe's leading steel producers, with steelmaking in the UK and Netherlands, and manufacturing plants across Europe. The company supplies high-quality steel products to the most demanding markets, including construction and infrastructure, automotive, packaging and engineering. Tata Steel works with customers to develop new steel products that give them a competitive edge. The Tata Steel group is among the top global steel companies with an annual crude steel capacity of 33 million tonnes. It is one of the world's most geographically-diversified steel producers, with operations and a commercial presence across the world. The group’s turnover (excluding its South East Asia operations) in the year ending March 2019 was US $22.67 billion.

Benefits

  • Pension Plan