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Experienced Data Scientist

Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 
United States
4 Staffing Corp logo
4 Staffing Corp Human Resources, Staffing & Recruiting TPE https://www.4staffing.net
11 - 50 Employees
About 4 Staffing Corp
What truly sets 4 Staffing apart is our approach to what we do. Our goal is not simply to fill your role or find you a job, but to build lasting relationships that can grow your business, your career and our network of very satisfied customers.Our clients include all the leading names in our specialist industries, and we have a worldwide network of contacts that has been built up over more than 20 years of recruiting. We can give you instant access to roles across a broad range of industries and on project sites across the continental United States. Our affiliate recruitment network is broad and deep allowing us to tap into talent and networks traditional staffing agencies could never dream of.Our TechnologyBuild by recruiters and IT professionals our company uses one of the most integrated and functional candidate-to-job matching systems ever developed. Our database, of tens of thousands of pre-qualified candidates, makes us the real "Monster" of the staffing world. Our proprietary software combined with our years of experience and excellent customer service guarantees your satisfaction.IntegrityEvery decision made is done in the best interest of our clients and candidates. It is our priority to cultivate and maintain mutually respectful relationships. Without being influenced by short-term gain, we hold ourselves accountable for creating long-term value.PassionIt’s the heart and soul of what we do and is evident in the way our people approach their work. It fuels our commitment to listen and provide the best experience to our diverse group of clients and candidates.Open CommunicationWithout it, ideas get lost, or worse, misinterpreted. We at 4 Staffing foster an entrepreneurial environment that embraces ideas and feedback from all of our consultants, clients and candidates.If you're not 100% satisfied with our service we want to know about. Contact Us and a quality assurance representative will contact you. Thanks -Management
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Job description

Our client is looking for a highly skilled individual with a background in experimentation and causal inference to join their team. The role involves developing advanced data science solutions using machine learning and artificial intelligence to drive innovation across various business areas and products. Collaboration with senior executives on impactful AI/ML projects to enhance risk management and overall financial performance is a key aspect of this position. Successful candidates will bring expertise in relevant industries, a passion for applying cutting-edge ML and AI techniques, and the ability to design and implement data science solutions that promote growth, competitive advantage, and customer satisfaction.

Qualifications:

  • A PhD with 2+ years of experience or a Master's degree with 4+ years of experience in fields such as Statistics, Computer Science, Engineering, Applied mathematics, or related disciplines.
  • Hands-on experience of at least 3 years in ML modeling and development.
  • Strong theoretical understanding of probability and statistics, as well as expertise in causal inference techniques.
  • Proven ability to formulate hypotheses for assessing consumer behavior, design, execute, and deploy experiments.
  • Proficiency in Python programming, with skills in PyTorch and/or Tensorflow.
  • A solid background in algorithms and familiarity with various ML models.
  • Exceptional communication skills and the capacity to collaborate effectively across different teams, including Product, Engineering, and other functional areas, at both leadership and hands-on levels.
  • Strong analytical and problem-solving capabilities with acute attention to detail.
  • Demonstrated leadership in providing technical guidance and mentoring to data scientists, along with effective management skills for tracking and monitoring performance to ensure success within the organization.


Locations: Northeastern USA - Hybrid/Remote (2-3 days per/week)

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Causal InferenceProbability And StatisticsPyTorch (Machine Learning Library)AlgorithmsMachine Learning Model Training

Other Skills

  • Verbal Communication Skills
  • Motivational Skills
  • Leadership
  • Collaboration
  • Analytical Skills
  • Mentorship
Are you interested?

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