Data Scientist

HCLTech; Chennai; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A leading technology services company is looking for a Senior Talent Acquisition Executive. The candidate will focus on acquiring talent in machine learning and data science, possessing strong skills in Python, SQL, and various ML frameworks. This position offers a full-time role with opportunities for growth within a dynamic industry in Chennai, Tamil Nadu.

Qualifications

• Experience in data preprocessing and model development.
• Ability to conduct deep data analysis and generate actionable insights.
• Experience with cloud platforms for deploying models.

Skills

Strong proficiency in Python

Hands-on experience with Scikit-learn

Strong skills in Pandas

Experience applying statistical methods

Familiarity with AWS

Experience using Tableau

Proficiency in SQL

Experience using Git

Tools

TensorFlow

Keras

Matplotlib

Power BI

Job description

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Senior Talent Acquisition Executive @ HCLTech|| Building the Future with AI - Welcoming profiles from Generative AI Engineers & Leads

We are seeking a skilled Machine Learning Engineer, Data Scientist, or Data Analyst to design, develop, and deploy machine learning models, conduct deep data analysis, and generate actionable insights. The ideal candidate will have experience in data preprocessing, feature engineering, model development, and performance optimization, working with large datasets and leveraging advanced machine learning frameworks.

Required Skills

• Programming Languages: Strong proficiency in Python, with experience in SQL.
• Machine Learning: Hands-on experience with Scikit-learn, TensorFlow, Keras, PyTorch, or similar ML libraries.
• Data Analysis: Strong skills in Pandas, NumPy, and Matplotlib for data manipulation and analysis.
• Statistical Analysis: Experience applying statistical methods to data, including hypothesis testing and regression analysis.
• Cloud Platforms: Familiarity with AWS, Azure, or Google Cloud for deploying models and using cloud-native data services (e.g., AWS Sagemaker, Azure ML).
• Data Visualization: Experience using Tableau, Power BI, Matplotlib, Seaborn, or Plotly for creating visualizations.
• SQL & Databases: Proficiency in SQL for querying relational databases and working with NoSQL databases (e.g., MongoDB, BigQuery).
• Version Control: Experience using Git for version control.
• Big Data Technologies: Familiarity with tools like Apache Hadoop, Spark, Dask, or Google BigQuery for processing large datasets.
• Deep Learning: Experience with deep learning frameworks such as TensorFlow, PyTorch, or MXNet.
• NLP & Computer Vision: Experience with natural language processing (NLP) using spaCy, NLTK, or transformers, and computer vision using OpenCV or TensorFlow.
• MLOps: Familiarity with MLOps tools like Kubeflow, MLflow, or DVC for managing model workflows.
• Data Engineering: Experience with ETL tools like Apache Airflow, Talend, AWS Glue, or Google Dataflow for data pipeline automation.

Tools & Technologies:

• Machine Learning: Scikit-learn, TensorFlow, PyTorch, Keras, XGBoost.
• Data Analysis: Pandas, NumPy, Matplotlib, Seaborn, Plotly.
• Data Visualization: Tableau, Power BI, Matplotlib, Seaborn, Plotly.
• Version Control: Git.

Seniority level

• Associate

Employment type

• Full-time

Job function

• Design

Industries

• Software Development, IT System Data Services, and Data Infrastructure and Analytics

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