Refer a freelancer, and you both get 1 free week of DFH Premium. They must use your code {code} at sign-up. More referrals = more free weeks! T&Cs apply.
1 of 5 free roles viewed today. Upgrade to premium for unlimited.

Data Scientist

This role is for a Data Scientist on a contract basis, fully remote, requiring strong Python, machine learning, and Databricks/PySpark skills. Candidates must be US citizens or authorized to work in the US, with a Master's degree or equivalent experience.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 22, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Remote
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Houston, TX
🧠 - Skills detailed
#Statistics #Matplotlib #Version Control #Pandas #Data Science #AWS S3 (Amazon Simple Storage Service) #PySpark #Databricks #Spark (Apache Spark) #Python #NumPy #Data Analysis #S3 (Amazon Simple Storage Service) #AWS (Amazon Web Services) #ML (Machine Learning) #Forecasting #NLP (Natural Language Processing)
Role description
You've reached your limit of 5 free role views today. Upgrade to premium for unlimited access.

Title: Data Scientist

Location: Remote

Duration: Contract/Contract-to-Hire

Work Requirements: US Citizens, GC Holders or Authorized to Work in the US

Top Skills Required:
• Strong Python experience
• Strong experience in machine learning and building predictive models
• Experience with Databricks and/or PySpark

Job Summary:

Data Scientists use a combination of technical and business skills to help our brands achieve their financial and strategic objectives. A Data Scientist learns the job while performing hands-on analytics and modeling.

Essential Duties/Responsibilities:
• Adhere to our culture of humility, curiosity, and impact
• Process data using Python, PySpark, and Databricks
• Develop purchase propensity models and product recommendation models
• Learn the job while performing hands-on analytics and modeling
• Help business partners make more profitable decisions based on customer and prospect insights

Working Conditions:
• Fully remote

Minimum Requirements:
• 0-3 years of experience in data analysis or related field
• Masters degree in a quantitative discipline or equivalent practical experience
• Experience with statistical software and database languages

Preferred Qualifications:
• Experience using data science to improve customer experience and business profitability
• PhD in a quantitative discipline
• Proficiency in Python packages such as PySpark, NumPy, pandas, scikit-learn, XGBoost, Matplotlib, and lifelines
• Theoretical and practical knowledge of methods such as frequentist statistics, Bayesian statistics, forecasting, optimization, causal inference, machine learning, and natural language processing
• Proficiency with version control
• Experience with reading and writing data in AWS S3
• Ability to collaborate effectively with teammates across functions with strong skills in persuasive and informative speaking

Our benefits package includes:
• Comprehensive medical benefits
• Competitive pay, 401(k)
• Retirement plan
• …and much more!

About INSPYR Solutions:

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.