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Sr. Machine Learning Engineer

Company: IQVIA Argentina
Location: Plymouth
Posted on: February 22, 2021

Job Description:

Primary Location: Plymouth Meeting, Pennsylvania, United States Full time R1149731 Date Posted: 10/14/2020 Internal Job Description Title: Machine Learning Engineer Technology Solutions division of IQVIA develops and markets healthcare-focused enterprise software applications including Master Data Management, CRM, Multi-channel Marketing, Content Management, Social and Compliance solutions. The Digital Office leads the transformation of the Technology Solutions product portfolio and is developing a cloud-based micro-intelligence platform bringing a layer of smart services to Technology Solutions' software offering called "Ada". Ada's algorithms use machine learning, natural language processing and deep learning techniques as appropriate. Role Purpose: As an Ada Machine learning engineer, you will develop algorithms that enhance the daily life and professional outcomes of our end-users. You will join a team of other ML engineers / data scientists, big data and software engineers, all responsible for the delivery of Ada from the ground up. You will work with product and business stakeholders to deliver algorithms with very clear business objectives, including requirements gathering, model development, prototyping, and interfacing with the software engineering team. Ideal candidates will bring a well-rounded skillset capable of spanning customer-focus, data science and software development disciplines to shape early stage ideas into fully assessed, designed, and implemented machine learning solutions. The Ada team is looking for a Machine Learning Engineer. Do you have a passion for building great products? Do you believe in customer-centricity? Do you have strong analytical, interpretative and problem-solving skills? Do you want to work in a positive, can-do environment where collaboration and growth mindset are valued?
Join us! Our team's values:

  • We focus on building software that adds value for our customers
  • We believe that the best idea or opinion precedes the title of its author
  • We are respectful of everybody's "think" time, optimizing meetings and limiting interruptions as much as possible
  • We value ownership, accountability, openness in collaboration and feedback
  • We test our code before handing it off: unit tests, ML tests, (continuous) integration tests, etc
  • We believe in reusing existing solutions over reinventing the wheel, and automating where possible
  • We seek continuous improvement, individually and as a team Principle Accountabilities:
    • Build production-grade algorithms, utilizing machine learning & deep learning models and/or NLP processes to create actionable insights and recommendations for end-users
    • Work closely with technical stakeholders to optimize and integrate machine learning models and algorithms into the Ada platform, to productize models and algorithms
    • Interface with software engineering team for the development of the product
    • Design and develop proof-of-concept solutions as needed
    • MS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field or 3+ years relevant experience in data science (Machine learning or NLP solution development)
    • Creative problem solver with a strong knowledge of statistics/data analytics, text analytics/natural language processing and machine learning methods and strategies
    • Advanced proficiency with at least one statistical computing language for data analysis, such as Python or Scala
    • Good scripting and programming skills, including object-oriented programming
    • Experience with software engineering best practices (programming, testing, version control, agile development, etc)
    • Experience with source control (GitHub) and working in a Linux/Unix environment
    • Experience with Spark, Hadoop and MLib is a plus
    • Experience with SQL (MySQL, Redshift/Postgres)
    • Experience distilling and presenting complex concepts to a business audience
    • Excellent communication (written and oral) and interpersonal skills To be successful as a member of the Digital Office Team, the candidate must also:
      • Work well in a collaborative, team-based environment (both work autonomously and as part of a team)
      • Be a self-starter who enjoys collaborating
      • Is flexible and able to work in a fast-paced, dynamic environment
      • Is fast and efficient and able to juggle multiple projects #LI-TJ1 At IQVIA, we believe in pushing the boundaries of human science and data science to make the biggest impact possible - to help our customers create a healthier world. The advanced analytics, technology solutions and contract research services we provide to the life sciences industry are made possible by our 67,000+ employees around the world who apply their insight, curiosity and intellectual courage every step of the way. Learn more at .
        IQVIA is an EEO Employer - Minorities/Females/Protected Veterans/Disabled IQVIA, Inc. provides reasonable accommodations for applicants with disabilities. Applicants who require reasonable accommodation to submit an application for employment or otherwise participate in the application process should contact IQVIA's Talent Acquisition team at to arrange for such an accommodation.

Keywords: IQVIA Argentina, Plymouth , Sr. Machine Learning Engineer, Engineering , Plymouth, Massachusetts

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