

E-Solutions
Data Scientist with Qliksense (Local to MTV)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with Qliksense, requiring 5-7 years of experience, strong skills in Python and SQL, and expertise in Qlik Sense. Located in Mountain View, CA, it demands local candidates within 20-30 miles and excellent communication skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 9, 2026
🕒 - Duration
Unknown
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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
Mountain View, CA
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🧠 - Skills detailed
#ML (Machine Learning) #AWS (Amazon Web Services) #Python #SQL (Structured Query Language) #Data Science #Databricks #Big Data #Spark (Apache Spark) #Cloud #Leadership #Qlik #Pandas #PyTorch #Databases
Role description
Role: Data Scientist with Qliksense
Location: Mountain View CA 94043 (100% Onsite) - Need someone local to Bay Area CA within 20-30 miles from MTV
Job Description:
• 5-7 years of experience in data science, machine learning, or a related quantitative field
• In-depth knowledge of Qlik Sense, including building interactive dashboards and reports, and presenting data-driven insights to leadership and executive stakeholders
• Strong proficiency in Python (pandas, scikit-learn or PyTorch) and SQL, including complex query writing, query optimization, and working with large-scale relational databases
• Deep understanding of statistical modeling, ML algorithms, and experimental design
• Proven experience taking models from prototype to production in a business environment
• Experience with AWS cloud platforms and big data tools (Spark, Databricks, etc.) is a good to have
• Excellent communication skills — ability to present complex analyses to executive audiences
Role: Data Scientist with Qliksense
Location: Mountain View CA 94043 (100% Onsite) - Need someone local to Bay Area CA within 20-30 miles from MTV
Job Description:
• 5-7 years of experience in data science, machine learning, or a related quantitative field
• In-depth knowledge of Qlik Sense, including building interactive dashboards and reports, and presenting data-driven insights to leadership and executive stakeholders
• Strong proficiency in Python (pandas, scikit-learn or PyTorch) and SQL, including complex query writing, query optimization, and working with large-scale relational databases
• Deep understanding of statistical modeling, ML algorithms, and experimental design
• Proven experience taking models from prototype to production in a business environment
• Experience with AWS cloud platforms and big data tools (Spark, Databricks, etc.) is a good to have
• Excellent communication skills — ability to present complex analyses to executive audiences






