Data Scientist/Ml Engineer

PA Consulting Group New York , NY 10007

Posted 3 weeks ago

Become part of the team

Do you crave a collaborative organization where your contributions will make a strong impact?

Do you want to develop products in the latest cloud-based technologies building ecosystems rather than creating client-facing slides?

Are you ready to roll up your sleeves and embrace a work culture that's insanely passionate and committed to bringing the latest advanced analytics to life?

The Data Science & AI group at PA Consulting is your dream community. As part of the fastest growing innovation practice within PA Consulting, you will work with the latest advanced analytics, machine learning, and big data technologies to generate actionable insights from data and develop innovative data products. We focus on Life Science, Healthcare, Energy & Utilities and CPG sectors and work with various data sets, from social media to public health data. Our domain focus is broad and covers everything from computer vision and NLP, recommender engines, classification and clustering algorithms, linear programming and optimization.

What we're looking for

  • 2-5 years professional experience as a data scientist, software engineer or statistical modeler

  • Master's degree from top tier university in Computer Science, Statistics, Economics, Physics, Engineering, Mathematics, etc.

  • Expertise in machine learning algorithms and methods

  • Strong understanding and application of statistical methods

  • Experience writing production level code in one of the following: Python, Java, C++, C


  • Experience working with database systems (e.g. SQL, NoSQL, MongoDB, Postgres, ect.)

  • Experience working with big data distributed programming languages, and ecosystems (e.g. S3, EC2, Hadoop/MapReduce, Pig, Hive, Spark, etc)

  • Experience building scalable data pipelines and with data engineering/ feature engineering.

  • Webscraping leveraging Beautifulsoup, Selenium, Scrapy, etc

  • Experience with front end (UI), HTML5, JavaScript, CSS, R Shiny, Tableau

  • Experience leveraging ML techniques to build recommender systems, NLP engines, computer vision algorithms, etc..


We offer a compelling benefits package that is competitive with the market and designed to reward you for achieving success.

About us

We believe in the power of ingenuity to build a positive human future in a technology-driven world.

As strategies, technologies and innovation collide, we create opportunity from complexity.

Our diverse teams of experts combine innovative thinking and breakthrough use of technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.

An innovation and transformation consultancy, we are over 3,200 specialists in consumer, defence and security, energy and utilities, financial services, government, health and life sciences, manufacturing, and transport. Our people are strategists, innovators, designers, consultants, digital experts, scientists, engineers and technologists. We operate globally from offices across the UK, US, Europe, and the Nordics.

PA. Bringing Ingenuity to Life.

Diversity Statement

We believe that diversity makes us a stronger firm and look to employ people with different ideas, styles and skill sets. This diversity stimulates a rich, creative environment - one in which our people develop, and our clients enjoy enduring results. We're committed to recruiting, promoting and rewarding our people solely based on their ability to contribute to PA's goals, without regard to their sex, race, disability, religion, national origin, ethnicity, sexual orientation, age or marital status.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. VEVRAA Federal Contractor.

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Data Scientist/Ml Engineer

PA Consulting Group