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    Mid - Level ML Scientist - New York, United States - Hays Recruitment

    Hays Recruitment
    Hays Recruitment New York, United States

    3 weeks ago

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    • Mid - Level ML Scientist
    Mid - Level ML Scientist
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    • Job type
      Contract
    • Location
      New York
    • Profession
      Other/tbc
    • Industry
      Technology & Internet Services
    • Pay
      $ $112.00/hr.
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    Mid - Level ML Scientist - CTP - New York, NY - $ $112.00/hr.

    The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate's/applicant's qualifications, skills, and level of experience as well as the geographical location of the position.

    Applicants must be legally authorized to work in the United States. Sponsorship not available.

    Our client is seeking a Mid - Level ML Scientist in New York, NY.

    Role Description

    As a Data Scientist you will play a critical role in shaping the growth trajectory of the company and support the development of their cutting-edge, next-gen AI solutions & services.

    Apply data mining & statistical analysis techniques like hypothesis testing, segmentation, and modeling to analyze large volume data.
    Develop and maintain complex data models, reporting systems, data automation systems, dashboards, and performance metrics.
    Use emerging technologies such as machine learning & AI and advanced programming to derive insights from large datasets.
    Conduct market/industry characteristics analysis, competitor assessment, trend analysis, demand forecasting, regulatory reviews, demographic assessment, macro-economic analysis, and benchmarking for datasets received.
    Work with content developers to communicate, present, and translate research insights into compelling stories for interpretation of analyses and data visualization.

    Skills & Requirements

    Proficient in utilizing Python libraries including Pandas, Scikit-learn, NumPy, SciPy, Matplotlib, NLTK, TensorFlow, PyTorch, and Keras for data manipulation, statistical analysis, and machine learning.
    Demonstrated expertise in various machine learning techniques, including but not limited to Natural Language Processing, Deep Learning, Transformer, Topic Modeling, Text Classification, Regression Analysis, Clustering, and Feature Engineering.
    Minimum 2 years of experience using Azure and Azure Machine Learning Studio.
    The criteria to evaluate your performance would include cost savings achieved, number of use cases investigated + datasets mined & explored, number of existing solutions & processes optimized, number of services and solutions digitized, number of innovations/POCs deployed, and customer NPS.

    Bachelor's Degree in Artificial Intelligence, Business Analytics, Data Science, Computer Science, Mathematics, Engineering, or related field.
    Minimum 6 years of experience in executing complex data science projects.

    Benefits/Other Compensation

    This position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits, dental benefits, vision benefits, 401K and Life Insurance ($20,000 benefit).

    Why Hays?

    You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there's a position you really want, you're fully prepared to get it.

    Nervous about an upcoming interview? Unsure how to write a new resume?

    Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting.

    Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays' guiding principles is 'do the right thing'.
    We also believe that actions speak louder than words.
    In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.

    In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text

    Drug testing may be required; please contact a recruiter for more information.

    #LI-DNI
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