Senior Data Scientist

6 - 8 years

0 Lacs

Posted:12 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities

  • Understanding business objectives and developing models and the system that help to achieve them, along with metrics to track their progress
  • Managing available resources such as hardware, data, and personnel so that deadlines are met
  • Analyzing the Deep Learning, ML algorithms that could be used to solve a given problem and ranking them by their success probability
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
  • Demonstrable history of devising and overseeing data-centred projects
  • Verifying data quality, and/or ensuring it via data cleaning
  • Supervising the data acquisition process if more data is needed
  • Finding available datasets online that could be used for training
  • Defining validation strategies, feature engineering data augmentation pipelines to be done on a given dataset
  • Training models and tuning their hyperparameters
  • Analysing the errors of the model and designing strategies to overcome them
  • Deploying models to production
  • Ability to relay insights in layman’s terms, such that these can be used to inform business decisions.
  • Collaborate with cross-functional teams, including SAP Application team, customers to define requirements and implement AI solutions.
  • Establish and enforce data governance standards implement best practices for data privacy and protection in AI applications

Qualifications And Education Requirements

  • Bachelor’s/Master’s degree in computer science, data science, mathematics or a related field.
  • At least 6-8 years’ experience in building Al/ML applications

Preferred Skills

  • Proficiency in statistical techniques such as hypothesis testing, regression analysis, clustering, classification, and time series analysis to extract insights and make predictions from data.
  • Proficiency with a deep learning framework such as TensorFlow, PyTorch and Keras
  • Proficiency with OpenCV, Django
  • Worked on LLM models,
  • Proficiency in data visualization tools and techniques to create clear and insightful visualizations (e.g., matplotlib, seaborn, plotly, ggplot2, Tableau) for communicating findings and insights to stakeholders.
  • Ability to engineer and select relevant features from raw data to improve model performance and accuracy, including domain-specific feature creation and dimensionality reduction techniques.
  • Worked on Big data platforms and technologies such as Apache Hadoop, Spark, Kafka, or Hive for processing and analyzing large volumes of data efficiently and at scale.
  • Familiarity in working and deploying applications on Ubuntu/Linux system
  • Has lead the team of Al/ML engineers
  • Excellent communication, negotiation, and interpersonal skills.

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