Job Category: Global Data Insight & Analytics

Degree Level: Bachelor's Degree or equivalent

Job Description:

Responsibilities:

Key Roles and Responsibilities of Position:

- Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends
- Design productive data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation
- Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Qualifications:

in Data science, computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. * 3+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim.





- 2+ years of experience with both supervised and unsupervised machine learning techniques.
- 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense.

Preferred Qualifications

An MS/PhD in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. PhD strongly preferred. * Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment.

- Experience with Git and GitHub for version control and collaboration.
- Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java)
- Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail.
- Experience working with large language models such GPT-4, Google, Palm, Llama-2, etc.
- Excellent problem solving, communication, and data presentation skills.

📌 Data Scientist (Chennai)
🏢 Ford
📍 Chennai