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)
Solid 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