Tata Technologies Hiring for Data Scientist at Mumbai, Maharashtra Full Time

Tata Technologies is a company of engineers, led by engineers. With more than 8000

associates, representing 17 nationalities, we help ambitious manufacturers create great

products. We focus on the manufacturing industry – on companies that make wonderful

products – covering every aspect of the value chain from concept to recycling. We support

these clients through comprehensive engineering services and IT processes and tools to

manage product development and the complete manufacturing ecosystem. Tata Technologies

serves clients in 25 countries, with a delivery model specifically designed for engineering and IT

engagements that offers a unique blend of deep, local expertise integrated with our five global

delivery centres, Detroit (USA), Coventry (UK), Pune (India), Stuttgart (Germany), and Bangkok

(Thailand). The international headquarters is located in Singapore.

Location :– Mumbai & Pune

Responsibilities:
1. Act as a Data Scientist for data handling, extraction, manipulation; creating structured

form of data and pulling tangible insights from data

2. Uses predictive modeling, statistics, trend analysis and other data analysis techniques

to explore data and to answer specific research questions.

3. Take inputs from the Manager/Consultant to develop statistical models (predictive

modeling, forecasting etc.) and apply appropriate techniques such as Exploratory Analysis,

Regression, and Association etc.

4. Develop executive presentation to present the analytical insights derived from the

data analysis.

5. Flexible to work on any problem statement in the space of AI-ML (NLP, CV & Predictive

Analytics & Maintenance etc.)

6. Must have a business problem understanding specifically from the domain of

Automobile, Manufacturing, E-commerce, Aviation & digital things.

7. Collaborates with the team in order to improve the effectiveness of computational

models through the use of data and feedback from stakeholders.

8. Supports development of machine learning models with guidance from more senior

co-workers

9. Ability to deal well with ambiguity and act with autonomy.

Experience & Proficiency:
1. 3-6 years dedicated experience as Data Scientist/ML Engineer with hands on

experience in NLP, Machine & Deep Learning, Computer Vision.

2. Demonstrated machine learning expertise with core generalized machine

& deep learning algorithms and its usage.

3. Experience in the use of MY-SQL/PostgresSQL/ORACLE/MongoDB Database, Data

Visualizations, database software and statistical programs.

Job Description

Disclaimer

It has been brought to our notice that certain individuals are misleading job applicants by claiming themselves to be employees of Tata Technologies or as

authorized job agency of Tata Technologies Limited. They have been misguiding the candidates to deposit certain amount of money in lieu of providing

employment or as deposit towards travel for final interview round, etc.

Tata Technologies does not take any such fees/facilitation charges in lieu of employment.

Anyone dealing with such an agency/employment portal/individual will be doing so at his/her own risk and the company will not be held responsible for such

loss or damage suffered directly or indirectly.

4. Familiarity with machine learning frameworks (like tensorflow or PyTorch) and libraries

(like scikit-learn or Pandas or Scipy etc)

5. Demonstrated knowledge of statistical analysis, database architecture, data mining

and predictive modeling tools and techniques.

6. Experience in using and learning a wide variety of tools and languages to achieve

results (e.g., R, Python, PowerBI, KNIME, WEKA etc.).

7. Good to have the understanding and working experience on the any cloud platform

including AWS/AZURE/GCP.

8. Must have a experience to handle the big data tools and platforms such as (HDFS,

MapReduce, Sqoop, HIVE, Spark)

9. Experience in working independently and within a team.

BE/BTech

Qualification

Minimum: 03 Years 00 Month Maximum: 06 Years 00 Month

Experience