

Cypress HCM
Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 2-3 years of quantitative analysis experience, focusing on tech or management consulting. Contract length is unspecified, with a pay rate of $102.67-112.67/hr. Key skills include SQL, statistical modeling, and data visualization tools like Tableau and Power BI. A bachelor's degree in a quantitative field is required, with an MBA preferred.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
896
-
ποΈ - Date
June 12, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
W2 Contractor
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π - Security
Unknown
-
π - Location detailed
San Francisco, CA
-
π§ - Skills detailed
#Stories #BI (Business Intelligence) #Computer Science #Storytelling #Visualization #Microsoft Power BI #Consulting #Tableau #Scala #Data Modeling #Microsoft Excel #SQL (Structured Query Language) #SaaS (Software as a Service) #Statistics #Data Science #Power Pivot
Role description
Responsibilities
β’ Apply your expertise in quantitative analysis and data modeling to uncover deep insights into customer behavior and trends.
β’ Act as a thought partner to business leads and influence decisions through compelling data-driven storytelling.
β’ Identify business opportunities, build use cases, and recommend data science initiatives to inform our product roadmap.
β’ Tackle critical business challenges with data science models to drive scalable and programmatic business solutions.
β’ Recommend and implement testing ideas based on detailed analysis.
Skills
β’ 2-3 years hands-on experience doing quantitative analysis ideally in tech or management consulting
β’ Demonstrable experience using quantitative analysis/statistical modeling on data sets to tackle intricate business problems
β’ Phenomenal at telling stories with data and communicating it to partners at all levels to influence critical decision making
β’ Strong proficiency in querying and manipulating volumes of data sets for analytical purposes using SQL-like languages
β’ Statistical Modeling in Microsoft Excel or Power Pivot
β’ Experience building and training statistical/data science models
β’ Experience with statistics in SaaS or Subscription Business model environment
β’ Experience in Data Visualization tools, preferably, Tableau and Power BI
β’ A solid sense of self with an innate sense of curiosity
β’ A fast learner with desire to learn new things
Education
β’ Bachelorβs degree in quantitative fields, e.g., Computer Science, Math/Statistics, Economics, Physics, or equivalent practical experience. MBA or a masterβs degree is preferred
Compensation
β’ $102.67-112.67/hr (W2-Non-Exempt)
#37284318
Responsibilities
β’ Apply your expertise in quantitative analysis and data modeling to uncover deep insights into customer behavior and trends.
β’ Act as a thought partner to business leads and influence decisions through compelling data-driven storytelling.
β’ Identify business opportunities, build use cases, and recommend data science initiatives to inform our product roadmap.
β’ Tackle critical business challenges with data science models to drive scalable and programmatic business solutions.
β’ Recommend and implement testing ideas based on detailed analysis.
Skills
β’ 2-3 years hands-on experience doing quantitative analysis ideally in tech or management consulting
β’ Demonstrable experience using quantitative analysis/statistical modeling on data sets to tackle intricate business problems
β’ Phenomenal at telling stories with data and communicating it to partners at all levels to influence critical decision making
β’ Strong proficiency in querying and manipulating volumes of data sets for analytical purposes using SQL-like languages
β’ Statistical Modeling in Microsoft Excel or Power Pivot
β’ Experience building and training statistical/data science models
β’ Experience with statistics in SaaS or Subscription Business model environment
β’ Experience in Data Visualization tools, preferably, Tableau and Power BI
β’ A solid sense of self with an innate sense of curiosity
β’ A fast learner with desire to learn new things
Education
β’ Bachelorβs degree in quantitative fields, e.g., Computer Science, Math/Statistics, Economics, Physics, or equivalent practical experience. MBA or a masterβs degree is preferred
Compensation
β’ $102.67-112.67/hr (W2-Non-Exempt)
#37284318





