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Data Scientist Engineer

Role overview

Qualifications

  • Bachelor's degree with six or more years of relevant work experience
  • Master's Degree in Computer Science, Statistics, Math, Economics, Engineering, or Data Science related fields with four or more years of relevant experience
  • Hands-on experience in building machine learning and statistical models using Python
  • Experience with Cloud computing platforms such as GCP or AWS

Responsibilities

  • Analyze big data
  • Build machine learning and statistical models
  • Manage and analyze data in relational databases, Hadoop, and Spark
  • Lead large scale data science projects and deliver from end to end

Key facts

Hard skills

Other skills

  • Communication
  • Social Skills
  • Problem Solving
  • Critical Thinking

About the company

Rapinno Health Care logo

Rapinno Health Care

  • Healthcare Staffing
  • SME
  • 11–50
At Rapinno Health Care, our expertise is helping healthcare organizations find a seamless workforce solution that aligns with our client's business strategies and overall staffing goals. We pride ourselves on building positive relationships to ensure that everyone involved brings added value to our customers and the patients they serve. Backed with a rich experience of Rapinno Tech, Rapinno Health Care believes that a successful healthcare organization must run like any efficient and successful business. To do this, you need to have the best talent and create synergies between maintainers, administrators, and organizational policy to create a recipe for success.

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Job description

Position: Data Scientist Engineer

Client: Largest Telecom client

Duration: Long Term Contract

Location: Irving(TX) , Alpharetta(GA), Basking Ridge (NJ), Irvine (CA) Hybrid

Required Skills: Data Science, Machine Learning, AI, Big Data/ Hadoop, Python, Cloud- AWS/GCP.

What were looking for... You are an accomplished Data Scientist, a recognized Machine Learning expert, and a thought leader in AI Technology and business innovation.

You are a master at analyzing big data.

Required: Formal education: Bachelors degree with six or more years of relevant work experience as a Data Scientist practicing model development for business applications; Or a Master's Degree in Computer Science, Statistics, Math, Economics, Engineering, or Data Science related fields with four or more years of relevant experience as a data scientist or machine learning engineer.

Hands-on experience in building machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL.

Experience in computing/programming skills; proficiency in Python, R, and Linux shell script.

Experience in data management and data analysis in a relational database, Hadoop and Spark.

Experience with Cloud computing platform such as GCP or AWS Strong communication and interpersonal influencing skills.

Excellent problem solving and critical thinking capabilities.

Desired: A Ph.D. in Computer Science, Statistics, Math, Economics, Engineering, or Data Science, with two or more years of experience in practicing machine learning and data science in business.

Expertise in deep learning, NLP, reinforcement learning, recommender system, etc.

Experience in leading large scale data science projects and delivering from end to end.

Experience with building data pipelines, model framework and model deployment.

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