Salt

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position for a 12-month contract in Cupertino, hybrid. Key skills include SQL, Python, and Tableau, with experience in marketing datasets, ETL processes, and machine learning required. Strong analytical and communication skills are essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 2, 2025
🕒 - 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
Cupertino, CA
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🧠 - Skills detailed
#Tableau #Datasets #Python #Automation #Data Science #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #ML (Machine Learning)
Role description
12-Month Contract | Cupertino - Hybrid Our client, a global leader in technology and innovation, is seeking a Data Scientist to join their Growth Marketing team. This is an exciting opportunity to play a pivotal role in supporting marketing and operational performance, while driving the expansion and automation of reporting and dashboard capabilities. The ideal candidate is a curious, detail-oriented self-starter with strong analytical skills and hands-on experience working with large datasets. You’ll collaborate cross-functionally to define KPIs, optimize data processes, and surface actionable insights that guide strategic decision-making. Key Responsibilities: • Partner with cross-functional teams to define performance indicators and reporting requirements. • Investigate and maintain knowledge of operational and performance datasets. • Build or procure additional datasets needed for analysis. • Write and optimize SQL/Python queries to extract, manipulate, and analyze large datasets. • Develop and maintain Tableau dashboards to support business performance tracking. • Conduct ad-hoc deep-dive analyses to uncover insights. • Balance competing priorities in a fast-paced, evolving environment. Key Qualifications: • Experience working with large datasets related to marketing or operations. • Proficiency in SQL, Python, and Tableau. • Experience with ETL processes, automation, and/or machine learning. • Strong communication and presentation skills. • Ability to work independently and proactively deliver insights and recommendations.