Data Scientist

Posting Title: Data Scientist

Experience: 3-5 Years

Location: Bangalore

Work mode: Hybrid

Primary skills: Python, SQL, Statistics, TensorFlow, Keras, Scikit-learn, PyTorch

Qualification: Any Engineering/ Computers degree

Roles & Responsibilities:

Understanding requirements, designing a solution using on AI/Gen AI technologies to meet the requirements

Data mining or extracting usable data from valuable data sources

Carrying out preprocessing of structured and unstructured data

Enhancing data collection procedures to include all relevant information for developing analytic systems

Processing, cleansing, and validating the integrity of data to be used for analysis

Analyzing large amounts of information to find patterns and solutions

Using machine learning tools to select features, create and optimize classifiers

Developing prediction systems and machine learning algorithms

Continuously refine and optimize models for performance, scalability, and efficiency.

Deploy models into production environments and monitor their performance

Explore and experiment with generative AI models (text and image generation models) suitable for the given requirements.

Train and evaluate generative models, fine-tuning parameters for desired outputs.

Integrate generative models into production workflows or applications

Work with senior data scientists to implement solutions for business problems

Requirements:

Experience: 3-4 years of proven experience in data science, AI/ML field.

Education: Bachelor’s degree/ master’s degree in computer science, Statistics, Applied Math, or related field.

Programming Skills: Mastery in Python and database query languages like SQL.

Familiarity with R, Java, C++ is an added advantage.

Statistics: Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.

Machine Learning: good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Tree, time series predictions, Deep neural networks, recommendation systems, collaborative filtering etc.

Generative AI: Good experience of Gen AI frameworks and components like Langchain, vector databases, text/image generation models from Huggingface, Ollama, Open AI etc.

Deep learning/machine learning tools: Hands on experience with data science tools such as TensorFlow, Keras, Scikit-learn, PyTorch