Intelliswift Software

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist III located onsite in Menlo Park, CA, for 6 months, offering competitive pay. Requires 5+ years of data science experience, proficiency in SQL and Python/R, strong analytical skills, and experience with large-scale datasets.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
720
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🗓️ - Date
January 27, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Menlo Park, CA
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🧠 - Skills detailed
#Python #SQL (Structured Query Language) #Datasets #Data Science #R #Programming #Big Data #Tableau #Visualization #Data Analysis
Role description
Job Title: Data Scientist III Location: Onsite at Menlo Park, CA Duration: 6 Months • 5+ years data science experience (SQL, Python/R) • Strong analytical & modeling skills • Skilled in data visualization • Excellent communicator & collaborator • Experience with large-scale datasets • Able to work independently, fast-paced environment • Products analysis experience We are seeking a highly experienced Data Scientist to join our client team and provide essential support for strategic initiatives. This position is ideally suited for a data scientist possessing robust analytical capabilities, substantial experience within large-scale data environments, and a commitment to generating significant impact through data-driven insights. Must-Have Skills • Advanced Data Analysis & Modeling: Strong proficiency in SQL and at least one programming language (Python, R, etc.). • Data Visualization: Experience with tools like Tableau, Unidash or Other • Communication & Collaboration: Ability to present complex findings clearly and work cross-functionally. Nice-to-Have Skills • Large-Scale Data Experience: Prior work with big data in tech/platform ecosystems. • Experimentation & Causal Inference: Knowledge of experiment design and causal analysis. Responsibilities • Analyze complex datasets to uncover actionable insights. • Design and maintain key metrics for ecosystem health and growth. • Develop and execute experiments for new features and strategies. • Collaborate with Product and Engineering teams to deliver insights. • Build dashboards/reports for technical and non-technical audiences. • Respond quickly to urgent business questions with high-quality analysis