Data Scientist with Python

Luxoft

8 - 13 years

15 - 19 Lacs

chennai

Posted:2 hours ago| Platform:

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Skills Required

data scientist scipy python storytelling data mining ai numpy machine learning pandas deep learning tensorflow tableau seaborn data science spark gcp matplotlib pytorch feature engineering hadoop big data aws etl azure

Work Mode

Work from Office

Job Type

Full Time

Job Description

Project description

We are seeking a highly experienced Data Scientist with deep expertise in Python and advanced machine learning techniques. You need to have a strong background in statistical analysis, big data platforms, and cloud integration, and you will be responsible for designing and deploying scalable data science solutions.

Responsibilities

Develop and deploy machine learning, deep learning, and predictive models.
Perform statistical analysis, data mining, and feature engineering on large datasets.
Build and optimize data pipelines and ETL workflows.
Collaborate with data engineers and business stakeholders to deliver actionable insights.
Create compelling data visualizations using tools like Tableau, Power BI, Matplotlib, or Plotly.
Implement MLOps practices, including CI/CD, model monitoring, and lifecycle management.
Mentor junior data scientists and contribute to team knowledge-sharing.
Stay current with trends in AI/ML and data science.

Skills

Must have

Minimum 8+ years of hands-on experience in Data Science with strong expertise in Python and libraries such as Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, or PyTorch.
Proven ability to design, develop, and deploy machine learning, deep learning, and predictive models to solve complex business problems.
Strong background in statistical analysis, data mining, and feature engineering for large-scale structured and unstructured datasets.
Experience working with big data platforms (Spark, Hadoop) and integrating with cloud environments (AWS, Azure, GCP).
Proficiency in building data pipelines, ETL workflows, and collaborating with data engineers for scalable data solutions.
Expertise in data visualization and storytelling using Tableau, Power BI, Matplotlib, Seaborn, or Plotly to present insights effectively.
Strong knowledge of MLOps practices, including CI/CD pipelines, model deployment, monitoring, and lifecycle management.
Ability to engage with business stakeholders, gather requirements, and deliver actionable insights aligned with business goals.
Experience in mentoring junior data scientists/analysts, leading projects, and contributing to knowledge-sharing across teams.
Continuous learner with strong problem-solving, communication, and leadership skills, staying updated with the latest trends in AI/ML and data science.

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