Data Scientist
Summit Consulting Services
2 - 5 years
Hyderabad
Posted: 10/12/2025
Job Description
Job Description Data Scientist
We are looking for an experienced Data Scientist to join our team. The candidate must have prior Data Scientist experience (mandatory) with a minimum of 6+ years of overall experience and at least 3+ years in a Data Scientist role. The ideal candidate should have strong expertise in machine learning, deep learning, and data analysis to drive data-driven business solutions.
Key Responsibilities
- Collect, clean, and preprocess large datasets for analysis.
- Perform Exploratory Data Analysis (EDA) and statistical modeling.
- Build and evaluate machine learning models using Scikit-Learn.
- Develop and optimize deep learning models with TensorFlow and PyTorch .
- Design and fine-tune Generative AI models (LLMs, diffusion models, transformers) for real-world applications.
- Create compelling data visualizations using Matplotlib and Seaborn.
- Translate business requirements into data-driven insights and strategies.
- Monitor and improve model performance in production.
- Communicate findings effectively to technical and non-technical audiences.
Required Skills & Experience
- 6+ years overall experience, with 3+ years in a Data Scientist role (mandatory).
- Strong foundation in Mathematics, Statistics, and Probability.
- Proficiency in Python and SQL for data extraction and manipulation.
- Skilled in data manipulation libraries such as NumPy, Pandas.
- Strong knowledge of machine learning algorithms and frameworks like Scikit-Learn.
- Hands-on expertise in deep learning using TensorFlow and PyTorch.
- Ability to design effective data visualizations with Matplotlib and Seaborn.
- Strong analytical, problem-solving, and communication skills.
Preferred Skills (Good to Have)
- Exposure to NLP (NLTK, Spacy) or Computer Vision (OpenCV, YOLO).
- Experience with cloud ML platforms (Azure ML, AWS Sagemaker, GCP AI).
- Knowledge of MLOps practices and model deployment pipelines.
- Familiarity with big data tools (Azure Databricks, Spark etc.).
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