Back to Job Search

Data Scientist

  • Location: Phoenix, 85002
  • Salary: $128000 - $133500 / year
  • Job Type:Permanent

Posted 11 days ago

REMOTE opportunity with a FULL suite of benefits

Title: Data Scientist
Location:  Phoenix, AZ
Type: Permanent

POSITION OVERVIEW

You will be a data science project leader within a fast-growing Data Science team pursuing a vision of analytics-driven mining. You will work in close collaboration with global mining operations, subject matter experts, data scientists, data engineers, and software engineers to develop novel approaches to complex problems. As a project leader you will plan and manage all aspects of data science project execution while also utilizing your expertise to coach Jr. team members and independently develop solutions. Your data analysis, modeling, and project management skills will be an invaluable part of innovation.

  • Collaborate with technical and business experts to understand business requirements and develop an end-to-end plan for data science deliverables
  • Plan, Create, and Implement complex models and algorithms independently while also coaching jr. team members and participating in R&D initiatives.
  • Utilize modern cloud technologies and employ best practices from DevOps/MLOps to produce enterprise quality production Python and SQL code with minimal errors. Identify and direct the implementation code optimization opportunities and proactively pull in external experts as needed.
  • Provide thought leadership in problem solving to enrich possible solutions and flexibly seek out new work or training opportunities to broaden experience
  • Collaborate with a wide range of technical and business experts to communicate project deliverables in the context of business outcomes

QUALIFICATIONS

Education Requirements:

  • Bachelor’s degree in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline and five (5) years of relevant work experience,
    • OR
  • Master’s degree in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline and three (3) years of relevant work experience
    • OR
  • Ph.D. in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline and one (1) year of relevant work experience
Required Skills:
  • Python and SQL Programming Experience
  • Knowledgeable Practitioner of at least three of the following analytical areas and the ability to articulate theoretical concepts from at least three:
    • Statistics & Statistical Modeling, including Time-Series Modeling
    • Simulation Techniques, including MCMC or an equivalent
    • Neural Networks / Deep Learning
    • Tree Based Machine Learning Algorithms
    • Unsupervised Learning
    • Classification techniques, including Support Vector Machines or an equivalent
    • Optimization Heuristics
    • Text Analytics
  • Ability to visualize data utilizing programmatic techniques
  • Expert at executing the Data Science development workflow including data manipulation and cleaning, feature engineering, model selection, model training, modeling validation, model deployment

Preferred Skills:

  • Working knowledge of MLOps/DevOps concepts (Version Control, CI/CD, Trunk Based Development/PR Based Development/GIT, Test driven development)
  • Working knowledge of Azure Machine Learning Environment
  • Working knowledge of Software Engineering and Object Orient Programming Principles
  • Working knowledge of Distributed Parallel Processing Environments such as Spark or Snowflake
  • Working knowledge of Edge Analytics, embedded systems, or computer vision.
  • Working knowledge of Data Architecture, engineering, and ETL teams
  • Working knowledge of problem solving/root cause analysis on Production workloads
  • Working knowledge of Agile, Scrum, and Kanban
  • Experience as a positive mentor/coach to junior employees
  • Experience influencing and building mindshare convincingly within a project team. Confident and experienced in public speaking to large audiences and storytelling with data.
  • Strong verbal and written skills
Criteria/Conditions:
  • Our client promotes a drug/alcohol-free work environment through the use of mandatory pre-employment drug testing and on-going random drug testing as allowed by applicable state laws

 

 

 

Candidates will be responsible for following the client's COVID-19 protocols. Please refer to your MATRIX representative for specifics.

About Us

At MATRIX, we expertly match talented professionals with job opportunities to elevate careers. Since 1983, we have placed thousands of professionals at innovative clients across every industry ranging from small startups to Fortune 50 companies. It’s why we’re consistently in the top 25 of all U.S. IT staffing firms and why our consultants rate us well above the industry average, earning us ClearlyRated's Best of Staffing awards year after year. People come to us for a job, and stay with us because of our top-notch consultant care.

MATRIX is and Equal Employment Opportunity employer including disability and veteran and provides reasonable accommodations for all qualified individuals.  Supporting medical or religious documentation will be required where applicable. If you are a qualified individual you may request a reasonable accommodation under the American Disability Act (ADA). If you are a person with a disability needing assistance applying, or at any point in the hiring process, please email us at MATRIX_HR@MatrixRes.com. To ensure a quick response to your request, please use the words “Accommodation request” as the subject line of your email.

For hourly W2 contract roles MATRIX offers a highly competitive benefit package including Medical, Dental, Vision, Life, Disability, HSA, and 401(k) with pre and post-tax options.  Please see MatrixRes.com/Benefits for more information.

For direct hire placement with our clients, benefits would be offered in accordance with that particular client’s offerings. This may include PTO, Medical, Dental, Vision, 401K and other pre and post-tax options.