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Data Analyst/Scientist

This role is for a "Data Analyst/Scientist" on a contract basis, offering $45-$50/hr, based in the Bay Area/San Jose, Austin, or Chicago/Washington. Requires a Bachelor's degree, SQL expertise, programming skills in Python or R, and experience with machine learning techniques.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
400
🗓️ - Date discovered
February 8, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Yes
📍 - Location detailed
San Jose, CA
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Analysis #Mathematics #Programming #Visualization #Security #HTTP & HTTPS (Hypertext Transfer Protocol & Hypertext Transfer Protocol Secure) #Java #Datasets #Computer Science #R #Data Manipulation #TensorFlow #SQL (Structured Query Language) #Data Science #ML (Machine Learning) #Python #Data Extraction #Statistics
Role description
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Akkodis is seeking a –“Data Analyst/Scientist” for a Contract position with a client located Bay Area/San Jose, Austin, Chicago/Washington.

Pay Range: $45-$50/hr (The rate/salary may be negotiable based on experience, education, geographic location, and other factors.).

Responsibilities

We are seeking a highly skilled Data Scientist proficient in SQL to join our dynamic team. The ideal candidate will possess a strong analytical mindset, a knack for interpreting data, and the ability to translate insights into actionable strategies.

Key Responsibilities:
• Utilize advanced analytics techniques to analyze large datasets, drawing meaningful conclusions and insights.
• Develop and implement algorithms and predictive models to optimize [specific business area] performance.
• Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
• Clean and preprocess data to ensure accuracy and reliability for analysis.
• Interpret and communicate findings to stakeholders through clear and compelling visualizations, reports, and presentations.
• Stay updated with industry best practices and emerging trends in data science and analytics.

Required Skills and Qualifications:
• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; Master's degree preferred.
• Proven experience as a Data Scientist or similar role, with expertise in SQL for data extraction, manipulation, and analysis.
• Strong programming skills in languages such as Python, R, or Java for statistical analysis and data manipulation.
• Experience with machine learning techniques and frameworks (e.g., TensorFlow, Scikit-Learn) is a plus.
• Excellent communication and presentation skills, with the ability to convey complex findings to non-technical stakeholders.
• Strong problem-solving skills and attention to detail.
• Ability to thrive in a fast-paced, collaborative environment.

Equal Opportunity Employer/Veterans/Disabled

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

· The California Fair Chance Act

· Los Angeles City Fair Chance Ordinance

· Los Angeles County Fair Chance Ordinance for Employers

· San Francisco Fair Chance Ordinance