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:

    J36993

  • Specialized Area:

    Data Science

  • Job Title:

    Data Scientist

  • Location:

    Englewood,CO

  • Duration:

    9 Months

  • Domain Exposure:

    Healthcare, Banking & Finance, Telecom, 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)




Job Description

Job Description:

Our mission is to build the next generation, web scale platform. Our environment is

    • Complex
    • Highly elastic
    • Based on some of the latest and greatest cloud native technologies
    • Very fast paced

Your team will be

    • Enabling a proper enterprise Data Lake in AWS
    • Building models and tools to get value out of the mass amounts of data we have in our environment
    • Enabling the best, most personalized and resilient customer experience possible

In order to be successful in this role, you will need to be

    • Highly motivated, driven & hard working
    • Able to lead a team of 3-5 into the world of data science
    • Not afraid to fail and comfortable working independently and with a team
    • Comfortable working with massive datasets in real time and batch processing with superior analytics skills
    • Comfortable talking to and working with Senior Executives
    • Apply data mining techniques, do statistical analysis, and build high quality prediction systems integrated with our product. Doing ad-hoc analysis and presenting results in a clear manner.
    • Processing, cleansing, and verifying the integrity of data used for analysis
    • Enhancing data collection procedures to include information that is relevant for building analytic systems
    • Data mining using state-of-the-art methods. Create automated anomaly detection systems and constant tracking of its performance.
    • A team player. We have a great group of diverse folks working together in harmony. Big egos and super heroes need not apply.
    • Real-time machine learning

Here are some of the key technologies that make up our environment. While we do not expect you to have a detailed understanding of each, the more of these you are familiar with the better.

    • ELK Stack / HDFS / Hadoop / Hive
    • Linux
    • AWS Big Data Tools: S3, Kinesis, Red Shift, Athena
    • Java, Python, R, SQL
    • Machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, h20.ai, etc.
    • Artificial Intelligence
    • Predictive Analytics
    • Tableau or other visualization tools
    • Kafka / Confluent
  • CI / CD and Cloud Native Computing (Docker, Kubernetes, Consul, Vault)

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