Data Scientist
Why This Role Stands Out
This hybrid Data Scientist role offers exciting opportunities to build and refine data science pipelines, leveraging your expertise in Python, R, and SQL to tackle complex, large-scale datasets. You'll thrive here if you enjoy rapid prototyping and communicating impactful insights to diverse audiences, with a competitive hourly rate of $73. Apply today to join a dynamic team and contribute to innovative solutions!
Quick Overview
Job Description
Job Title: Data Scientist
Location: Scottsdale AZ
Duration: 6 Months + Extension
Bill Rate: $73/hour
Job Type: C2C/1099 Contract
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD
Job Description:
- Experienced data science, engineering, mathematics, or related work experience is required.
- Experience developing data science pipelines & workflows in Python, R or equivalent programming language. Experience in writing and tuning SQL. Experience handling terabyte size datasets
- Experience applying various machine learning techniques, and understanding the key parameters that affect their performance
- Experience using ML libraries, such as scikit-learn, mllib, etc.
- Experience using data visualization tools
- Able to write production level code, which is well-written and explainable
- Interest to do lots and lots of proof of concepts/rapid prototyping
- Ability to effectively communicate findings from complex analyses to non-technical audiences.
Essential Functions
- Explore and aggregate data independently to uncover data anomalies that impact algorithm performance
- End to end feature engineering - brainstorm, create, validate, down-select, etc.
- Write production level code in a dynamic, start-up environment
- Solve complex problems using terabyte size data sets
- Apply of a variety of machine learning techniques to a business problem to arrive at optimal approach
- Partner with Product and Engineering teams to solve problems and identify trends and opportunities
- Explain and visualize results and algorithm performance to non-technical audiences
- Support the company's commitment to protect the integrity and confidentiality of systems and data.
Preferred Qualifications
- Pyspark experience
- Building fraud and/or risk models
- Knowledge of advanced ML algorithms
- Industry experience in machine learning
- Experience exploring data and finding hidden patterns
Equal Opportunity Employer:
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law
Skills
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