Data Scientist

3 hours ago

Hyderabad Telangana India, Telangana Summit Consulting Services Full time

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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