Themesoft Inc.
Data Scientist III
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist III in Menlo Park, CA, offering full-time employment for over 6 months. Key skills include advanced data analysis, SQL, Python or R, and data visualization tools like Tableau. Experience with big data is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
1080
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🗓️ - Date
January 29, 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
#Presto #Big Data #Programming #Tableau #Data Analysis #Data Science #R #Python #SQL (Structured Query Language) #Visualization
Role description
Hi Professionals;
Job Title: Data Scientist III
Job Location:Menlo Park, CA (Onsite)
Duration:Full time
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 Metrics360.
• 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.
• Client Internal Tools: Familiarity with Presto, Scuba, Hive, etc.
Experimentation & Causal Inference: Knowledge of experiment design and causal analysis
Hi Professionals;
Job Title: Data Scientist III
Job Location:Menlo Park, CA (Onsite)
Duration:Full time
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 Metrics360.
• 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.
• Client Internal Tools: Familiarity with Presto, Scuba, Hive, etc.
Experimentation & Causal Inference: Knowledge of experiment design and causal analysis
