W-2 Jobs Portal

  • 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:


  • Specialized Area:

    Data Science

  • Job Title:

    Data Science Manager

  • Location:


  • Duration:

    9 Months

  • Domain Exposure:

    Healthcare, Education, 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:

    vivian ryan

Job Description

Essential Functions:

    • Provides leadership in advanced engineering, data science and analytics in the development of current or future products, technologies or services.
    • Lead a team of data scientists to design, prototype, implement and test predictive and prescriptive analytic models
    • Partner with Data Engineers and Project Managers to deliver end-to-end solutions
    • Partner with cross-functional teams to identify and explore opportunities for the application of machine learning.
    • Applies artificial intelligence and machine learning techniques to solve complex questions or fuel new business opportunities
    • Build and/or utilize toolsets and set up processes for extracting information from unstructured data streams.
    • Implements data and analytics solutions, through data science techniques, that solve business problems and create business value.
    • Provides technical guidance and mentoring to business insight and visualization teams, as needed.
    • Leads and executes independent quantitative research projects, leveraging data from multiple sources
    • Uses best practices to understand the data and develop statistical, analytical techniques to build models that address business needs.

Required Knowledge and Skills:

    • MS or PHD degree preferred in statistics, applied mathematics, or computer science (machine learning)
    • 5+ years with predictive modeling techniques and experience in leading predictive modeling initiatives
    • 3+ years of management experience
    • Ability to break down complex business and technical problems into opportunities for analytical study
    • Extensive knowledge and experience in data science, including expertise in one or more of: machine learning, big data/data mining, statistics, business/customer intelligence, data modeling, databases, data warehousing, or a similar field.
    • Business application of the following techniques: hierarchical Bayesian, Markov chain Monte Carlo, random forests, generalized boosted models, generalized additive models, neural networks, time-series forecasting, game theory, conditional probabilities or other similar approaches
    • Deep knowledge of statistical areas such as ANOVA, multiple regression, timeseries modeling, principal component analyses, decision trees, clustering, etc.
    • Experience programming in R, SQL, Python
    • Automate data wrangling, iterative solution search and operationalization of models, working alongside data architects.
    • The ability to handle missing data through an algorithmic approach such as multiple imputations to enable insights in sparse and messy datasets
    • Significant experience coding and maintaining predictive algorithms
    • Superior research, statistical, analytical, processing and mathematical skills with ability to structure and conduct analyses

Apply Now
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