Pyramid Consulting, Inc

Data Scientist – SQL, Python, Machine Learning, Power BI

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with expertise in SQL, Python, Machine Learning, and Power BI, offering a 6+ month contract in Oakland, CA (Hybrid) at $35 - $39/hour. Requires a Bachelor's degree and 2–5 years of relevant experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
312
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🗓️ - Date
July 1, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Oakland, CA
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🧠 - Skills detailed
#Datasets #Data Architecture #Python #Statistics #SQL (Structured Query Language) #SQL Queries #Clustering #Computer Science #Data Analysis #Tableau #ML (Machine Learning) #Consulting #Data Pipeline #Regression #AI (Artificial Intelligence) #Data Science #R #Microsoft Power BI #Scala #BI (Business Intelligence) #NLP (Natural Language Processing) #Mathematics #"ETL (Extract #Transform #Load)"
Role description
Immediate need for a talented Data Scientist – SQL, Python, Machine Learning, Power BI. This is a 06+ months contract opportunity with long-term potential and is located in Oakland, CA (Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID: 26-20143 Pay Range: $35 - $39/hour. Traveler benefits as per agency package. (Benefits vary by vendor and assignment.) Key Responsibilities: • Develop advanced SQL queries to extract, transform, and analyze enterprise data. • Build and maintain machine learning and statistical models to solve business challenges. • Design, develop, and deploy AI models into production environments. • Perform predictive analytics, regression analysis, clustering, and natural language processing (NLP). • Analyze structured and unstructured datasets to identify trends and actionable insights. • Create automated ETL processes and scalable data pipelines. • Develop interactive dashboards and executive reports using Power BI, Tableau, or Cognos. • Gather business requirements and translate them into data-driven reporting solutions. • Design data models and support enterprise data architecture initiatives. • Monitor AI model performance and continuously improve model accuracy. • Collaborate with business leaders, engineers, and analytics teams to deliver enterprise reporting solutions. Key Requirements and Technology Experience: • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative field. • 2–5 years of professional experience as a Data Scientist, Machine Learning Engineer, or Data Analytics professional. • Strong experience writing complex SQL queries. • Professional experience using Python and/or R for data analysis and machine learning. • Experience building predictive models and statistical analyses. • Experience working with large enterprise datasets. • Experience developing dashboards and business reports. • Strong analytical thinking and problem-solving skills. • Excellent written and verbal communication skills. Our client is a leading Healthcare Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.