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  • W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters

Job Overview

  • Job ID:

    J12813

  • Posted Date:

    04/16/2019

  • Specialized Area:

    Data Analyst

  • Job Title:

    Data Scientist

  • Location:

    Plano,TX

  • Duration:

    9 Months

  • Domain Exposure:

    Healthcare, Pharmaceuticals, Government, Real Estate, Oil & Gas, IT/Software

  • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,
    H4-EAD, L2-EAD, GC-EAD

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2 (Consultant must be on our company payroll. C2C is not allowed)

  • Bench Recruiter:

    Christy Wright




Job Description

Must Have Skills: advanced NLG, NLP, Q Learning, Deep Learning with Vision experience

Desired Skills: Evolutionary Algorithm, ML Studio, KNIME

Job Roles / Responsibilities:       This role will be responsible for to lead building data science capability for example - predictive analytics, natural language processing, visualization etc. for different AA requirements

Essential Duties & Responsibilities:

This role will support the following activities:  

• Participate in identification, implementation and adoption of emerging technologies in field of Advanced Analytics

• Execute statistical methods and advanced data science modeling techniques that shows business relevant results

• Work with a dynamic team to deliver industrialized analytic components as new projects are identified for business success

• Requires strong communications with the team, business and extended IT teams

Qualifications and Skills

• Masters with > 8 years of relevant experience in Analyzing the Complex Problems and translate it into data science algorithms

• Experience in machine learning, supervised and unsupervised:  Forecasting, Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms ( with hands on experience in Reinforcement Learning, Markov Decision Process and Computer Vision )

• Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling

• Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data

• Experience in Dimensionality reduction, Ensemble, Regularization  , clustering

• Strong Hands on Experience with one or more of Python,  R and Pyspark


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Equal Opportunity Employer

DIGITAL TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. DIGITAL TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will DIGITAL TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract


Equal Opportunity Employer

DIGITAL TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. DIGITAL TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will DIGITAL TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract