Data Scientist

3 months ago


Gurugram Haryana, India Maruti Suzuki India Ltd Full time

**Job Title**:
Data Scientist
**Job Location**:
Gurgaon
Educational Qualification
B.E / B.Tech with Minimum 60 % marks
BSC Mathematics/ Data science
**Experience**:
4-7 Years

**Responsibilities**:
− Design data-driven solutions to address business challenges.
− Acquire specialized knowledge in the automotive domain relevant to the problem at hand, seeking expertise from domain specialists as needed.
− Gain proficiency in the vehicle’s IoT device, specifically the Telematics Control Unit.
− Develop a comprehensive understanding of Time-Series Data.
− Clean, prepare, and manage datasets for modelling, engaging in the ETL process when necessary.
− Conduct data exploration to extract insights, present findings to domain experts, identify patterns, seasonality, trends, and causality, and collaborate with domain experts to formulate and test hypotheses.
− Devise and refine features, evaluate their significance, and determine the machine learning strategy.
− Engage in data modelling, select suitable machine learning or deep learning algorithms, establish data pipelines for training, perform hyper-parameter optimization, and conduct validation and testing. Implement ensemble techniques if beneficial.
− Interpret and visualize data through reports and graphical plots.
− Provide guidance and mentorship to junior data science professionals.
Technical Skills / Experience
**Essential Qualifications**:

- A minimum of

4 years
of industry experience in data science.
- Proficiency in

Python
programming with experience in
pandas
,
NumPy
,
matplotlib
, and
sklearn
libraries.
- Competence in

statistical analysis
, including descriptive, inferential statistics, and hypothesis testing.
- Practical experience in

mathematical modelling
**and a variety of machine learning techniques, such as**:

- Generalized Linear Models (GLM), Boosting Algorithms, Decision Trees, Neural Networks, Support Vector Machines (SVM), and Bayesian Methods.
- Econometric analysis.
- Deep Learning models including Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTM), and Gated Recurrent Units (GRUs).
- Unsupervised learning algorithms and image classification using computer vision.
- Proven track record of successful model deployment.

**Desirable Qualifications**:

- Experience with accident simulation
tools such as
PC crash
or
OPENPass
- Familiarity with time-series and IoT data analytics.
- Familiarity with LLMs
- Knowledge of automotive systems, vehicle fundamentals, and Controller Area Network (CAN) protocol


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