Data Scientist – India

Hyderabad | Full Time | Hybrid

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Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results.

We are hiring Data Scientists to analyze, build, and deploy machine learning models. As a senior team member, you’ll lead projects, collaborating with engineers and stakeholders for successful project delivery.

Responsibilities

  • Understand business problems, analyze numerical datasets and design relevant solutions that may involve machine learning models.
  • Design and develop scalable data processing, mining, and machine learning systems.
  • Conduct data cleaning, preprocessing, and feature engineering for optimal model performance.
  • Implement machine learning and deep learning models for various applications such as price optimization, predictive maintenance, and sales forecasting.
  • Debug end-to-end data flow and enhance model predictions.
  • Build and deploy scalable machine learning pipelines on GCP or equivalent platforms.
  • Establish practices for model monitoring, retraining, and versioning.
  • Strong proficiency with SQL and its variation among popular databases.
  • Collaborate with cross-functional teams to understand and translate business needs into technical solutions.
  • Able to build visualizations involving reports and other insights on large-scale tabular data and present the technical findings to stakeholders effectively.
  • Assist product manager in shaping data science products and offerings.

Qualifications:

  •  5+ years of overall experience with at least 2 years in Data Science or Machine Learning Engineering.
  • Proficient in handling large amounts of numerical data and preparing it for analysis.
  • Proficiency in end-to-end data processing steps, including data cleaning, exploratory data analysis, outlier handling, and model training.
  • Experience in training classic supervised machine learning models and deploying them in production environments.
  • Proficiency in Python and ML libraries like XGBoost, TensorFlow, PyTorch, and Scikit-learn.
  • Proficient in handling big data on Cloud, ETL processes, and building visualizations on top of the big data.
  • Familiarity with Google Cloud or equivalent Cloud Platforms.
  • Excellent communication, collaboration, and problem-solving skills.
  • Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field

Good to have:

  • Knowledge of natural language processing (NLP), computer vision, or other deep learning techniques.
  • Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications.
  • Experience in MLOps and related technologies.
  • Knowledge of GenAI techniques and applications.
  • Master’s degree in statistics, machine learning, or related fields.

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