Mid

GFT Technologies SE
New York, NY Remote Full Time
POSTED ON 8/25/2022 CLOSED ON 11/3/2022

What are the responsibilities and job description for the Mid position at GFT Technologies SE?

Mid-Level Data Scientist - CONTRACT - 103306

Date: Aug 25, 2022
City: New York
Company: GFT Technologies SE

Mid-Level Data Scientist - CONTRACT

GFT Group New York, New York, United States

Remote Position to Work from EST or Central timezones

The new GFT Mid-Level Data Scientist is capable of using machine learning and statistical techniques to create state-of-the-art solutions for non-trivial, and arguably, unsolved problems. If you are results driven, interested in how to apply advanced machine learning techniques, would love to work with vehicle telemetry data and video, are deeply technical, highly innovative, and long for the opportunity to build solutions for challenging problems that directly impact the company's bottom-line, we want to talk to you.

Responsibilities:

Use statistical and machine learning techniques to create scalable solutions for vehicle telemetry data and video analysis, and perform R&D to drive discovery of new generation mobility products

Establish scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation

Drive adoption of best practices across organizations

Deliver production-ready code

Work with Product Owners to define the KPIs for machine learning projects

Stay abreast of developments in research methodology and changing technologies in the marketplace and proactively identify applications of these latest developments to improve existing methods

Prepare and present findings to both technical and non-technical audiences

Work within the constraints of time, budget, and resources capacities to align with client’s global vision

Develop and foster collaborative relationships with product, business, and engineering teams to effectively serve our customer needs

Requirements:

5 years of production experience working in Data Science or Software Engineering

3 years of production experience in Machine Learning, Computer Vision, Signal Processing, and/or Natural Language Processing (NLP)

Solid knowledge/experience of statistics, EDA, ETL, feature importance/feature selection

Solid production experience using Python (including NumPy) and SQL

Solid production experience using TensorFlow and/or PyTorch

Production experience with Apache Spark

Strong fundamentals in problem solving, algorithm design and complexity analysis

Experience implementing Machine Learning pipelines in production environments

Hands-on experience with web APIs, containers, CI/CD and testing

Experience from working in Agile Scrum environments

Experience implementing solutions in a cloud environment (AWS, Azure, or Google Cloud)

Experience working with data science in automotive telematics data and video is a plus

Experience in Research/Edge Computing is a plus

What we can do for you:

  • Competitive Base Salary Based on Experience plus metric based performance bonus
  • Competitive Benefits
  • Excellent Company Culture with Individual Development Plans to map out your career growth
  • Professional Development Training
  • An opportunity to work in a global environment
  • Open door policy with management
  • Opportunity to work in a global environment with diverse teams built with colleagues from around the world
  • Opportunity to work with technology industry leaders in the financial services environment
  • Opportunity to work for big name clients in capital markets and industry

Diversity & Inclusion Statement:

At GFT we are committed to cultivating, fostering, and preserving a culture of diversity, equity and inclusion. We want to attract, recruit, develop and retain the most talented employees, regardless of their background. We are guided by our values in everything we do, and recognize that being a diverse and inclusive employer helps us fulfil our social responsibility to make a difference.



Nearest Major Market: Manhattan
Nearest Secondary Market: New York City

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