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Posted:2 weeks ago| Platform: Linkedin logo

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Skills Required

data analytics drive design learning azure aws model deployment apache visualization power algorithms communication management certifications devops processing compensation cutting collaborative

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title

Location

Experience

Employment Type

About the Role

Data Scientist

Key Responsibilities

  • Design and implement scalable data pipelines using

    Databricks

    ,

    PySpark

    , and

    Delta Lake

    .
  • Develop and deploy machine learning models for predictive analytics and optimization.
  • Collaborate with data engineers, analysts, and business stakeholders to understand requirements and deliver actionable insights.
  • Optimize data workflows and ensure high performance across cloud platforms (Azure/AWS/GCP).
  • Lead data science projects end-to-end, from problem definition to model deployment and monitoring.
  • Mentor junior data scientists and contribute to best practices in data science and engineering.

Required Skills & Qualifications

  • 8+ years of experience in data science, analytics, or data engineering.
  • Strong hands-on experience with

    Databricks

    ,

    Apache Spark

    , and

    MLflow

    .
  • Proficiency in

    Python

    ,

    SQL

    , and data visualization tools (e.g., Power BI, Tableau).
  • Experience with cloud platforms (Azure preferred).
  • Solid understanding of machine learning algorithms, statistical modeling, and data wrangling.
  • Excellent problem-solving, communication, and stakeholder management skills.

Preferred Qualifications

  • Certifications in Azure Data Engineer or Databricks.
  • Experience with CI/CD pipelines and DevOps practices.
  • Exposure to real-time data processing and streaming technologies.

What We Offer

  • Competitive compensation and benefits.
  • Flexible work environment.
  • Opportunities to work on cutting-edge technologies and impactful projects.
  • Collaborative and inclusive culture.

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