Data Science Analyst

2 weeks ago


tamil nadu, India Saint-Gobain Research India Full time
You are a true ambassador for Data subjects
As a Data Science -Analyst, you will work closely with our team to support various projects and initiatives. It provides an opportunity to gain hands-on experience in applying data science techniques to real-world problems. You will have the chance to work with large datasets, develop and implement models, and contribute to data-driven decision-making.
Hands-on Skillset:
Basic concepts of Statistics, linear algebra and data engineering, NLP, Linear Algebra, ML algorithms, AI -ANN/DL, CNN-pretrained models, Timeseries models, GAN/VAE, Generative language models and transformers.
Responsibilities:
1. Generic & Industrial Data Analysis:
- Assist in collecting, cleaning, and analysing large datasets industrial datasets
- Conduct exploratory data analysis to identify patterns, trends, anomalies and insights
- Support the development of data visualizations to communicate findings
- Work with time-series data to extract meaningful insights and trends
2. IoT Integration:
- Collaborate on projects involving IoT data, sensors, and devices
- Gain hands-on experience in integrating and analyzing data from IoT sources
- Contribute to the development of predictive maintenance models leveraging IoT data
3. Model Development for Process Optimization:
- Work closely with the process team to develop models for process optimization
- Utilize machine learning algorithms to enhance efficiency and performance in industrial processes
- Collaborate on the implementation of models to improve process outcomes
4. Programming and Tools:
- Utilize programming languages such as Python, R, or others for data engineering, analysis, and modeling
- Familiarity with data science libraries and tools (NumPy, pandas, scikit-learn, SciPy, TensorFlow, PyTorch)
5. Communication:
- Present findings and insights to both technical and non-technical audiences
- Collaborate with cross-functional teams to understand business requirements
6. Documentation:
- Document methodologies, code, and results for future reference
- Contribute to the development of best practices and documentation
7. Learning and Development:
- Stay current with industry trends and advancements in data science
- Take initiative in learning new techniques and tools to enhance skillset
We expect you have:
- M.E/M.S (by Research) degree in a relevant field such as Computer Science (with AI-IOT, AI/ML)
(Chemical, Materials, Instrumentation, Energy/Industrial Engineering discipline)
- Strong analytical and problem-solving skills
- Proficiency in programming languages, especially Python or R
- Familiarity with data manipulation and analysis libraries (e.g., pandas, NumPy)
- Basic understanding of machine learning concepts and algorithms
- Excellent communication and teamwork skills
- Ability to work independently and collaborate in a fast-paced environment
Preferred Qualifications:
- Coursework or projects related to data science and machine learning
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
- Knowledge of big data technologies, (e.g., Hadoop, Spark)
- MLOps/cloud solutions and Gen AI/LLM is a plus
About the Team:
They eat data
They sleep data ️
They dream data
They are self-professed numbers people who loves analysing, organizing and deciphering data.
At Saint-Gobain, you’re encouraged to let your personality and passions truly shine. ☀️
Whatever your aspirations, we’ll help you dazzle. ⚡️
➡️ Sound like your kind of place?
Then jump on board
#WeMakeTheWorldABetterHome
#SaintGobain
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