Data Science Automation Specialist

3 days ago


Warszawa, Mazovia, Czech Republic dotData Full time

Company Overview:

dotData is a leader in automating data science solutions for businesses. Our team is passionate about empowering organizations to unlock the full potential of their data.

Job Description:

We are seeking an experienced Data Scientist to join our customer-facing team. As a trusted advisor, you will work closely with clients to understand their business challenges and develop tailored solutions using dotData products. Your expertise in data analytics, machine learning, and software development will drive business impact and growth for our customers.

Responsibilities:

  • Collaborate with customers to identify business problems and translate them into actionable data science use cases
  • Develop solutions centered around dotData products, ensuring seamless integration and optimal performance
  • Provide expert consultations on data science best practices and related technologies to drive customer success
  • Work closely with product/engineering teams to incorporate customer feedback and drive product development forward
  • Conduct benchmarking analysis using open-source datasets to explore new techniques for product improvement
  • Benchmark and showcase new features through demos/prototypes to accelerate adoption

Requirements:

  • 3+ years of experience in building data-driven solutions, including data processing, feature engineering, model training/tuning, and post-deployment validation
  • Strong knowledge of data analytics, machine learning, and software development (preferably in Python)
  • Familiarity with SQL, Spark, AWS, Azure Databricks, Docker, Jenkins, ETL, and Big Data technologies
  • BS/BA Degree in Math, Engineering, CS, or another Quantitative field

Benefits:

  • Central Warsaw office with hybrid/fully remote work flexibility
  • B2B contract with competitive salary
  • Paid vacation and personal development budget
  • Modern office environment with free coffee and snacks


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