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Company: Resolve AI
Location: San Francisco, CA
Position Type: Full Time
Experience: See below
Education: See below
MS degree in Computer Science or related plus 2 years exp as a Software Engr.. Growth Engr. or related. Salary $120,598.00. Resume to 350 Rhode Island St.. 4th Floor, Suite 400, San Francisco, CA 94103 Show more »
Location: San Francisco, CA
Position Type: Full Time
Experience: See below
Education: See below
MS degree in Computer Science or related plus 2 years exp as a Software Engr.. Growth Engr. or related. Salary $120,598.00. Resume to 350 Rhode Island St.. 4th Floor, Suite 400, San Francisco, CA 94103 Show more »
Refcode: #IPCSFC00180981
Company: Hinge Health, Inc.
Location: Various Loc's in U.S. & SF, CA
Position Type: Full Time
Experience: See below
Education: See below
Staff Data Scientist (Growth), Hinge Health, Inc, San Francisco, CA and various unanticipated locations throughout the US (up to 100% telecommuting permitted). Collaborate with Growth Marketers and Channel Leads on growth channels to develop measurement frameworks, drive new user acquisition, onboarding, renewals through deep dive analysis, experimentation, model development (attribution, cost curves). Work on channel optimization of company acquisition and strategy to drive renewals and identify the value of investments from a conversion and Customer Acquisition Cost (CAC) efficiency perspective. Develop measurement frameworks and self-serve performance analyses dashboards for online and offline growth channels. Develop channel attribution, build algorithms to predict lifetime value (LTV), predictive, segmentation, and cost optimization models. Lead growth channel experimentation, including developing and evaluating hypotheses for channel optimization and efficiency, and incrementality testing. Build out an in-house A/B testing platform and explore vendor options to facilitate automated experimentation. Develop, validate and implement descriptive and predictive models using statistical and machine learning algorithms. Liaise with Data Engineers to build growth data models and ensure accurate ingestion and transformation of large datasets. Mentor junior data scientists. Identify/explain root causes of business performance and work with Growth leadership team and channel owners to develop actions to accelerate growth. Utilize Business Intelligence/visualization tools (such as Tableau, Mode Analytics, or Looker), Query-based analysis/data analytics, Analytical software tools (such as SQL), data quality assurance. Required: Master’s degree or equivalent in Data Science, Computer Science, Economics, Mathematics or related and three (3) years of experience as a Data Scientist or related. Alternatively, the employer will accept a Bachelor's degree or equivalent and five (5) years of progressive experience as a Data Scientist or related. Three (3) years of experience must include utilizing Business Intelligence/visualization tools (such as Tableau, Mode Analytics, or Looker), Query-based analysis/data analytics, Analytical software tools (such as SQL), data quality assurance. $194,834 to $229,824 per year. Please email resumes to Lauren Runte at lauren.runte@hingehealth.com Applicants must reference HIN222 in the subject line. Show more »
Location: Various Loc's in U.S. & SF, CA
Position Type: Full Time
Experience: See below
Education: See below
Staff Data Scientist (Growth), Hinge Health, Inc, San Francisco, CA and various unanticipated locations throughout the US (up to 100% telecommuting permitted). Collaborate with Growth Marketers and Channel Leads on growth channels to develop measurement frameworks, drive new user acquisition, onboarding, renewals through deep dive analysis, experimentation, model development (attribution, cost curves). Work on channel optimization of company acquisition and strategy to drive renewals and identify the value of investments from a conversion and Customer Acquisition Cost (CAC) efficiency perspective. Develop measurement frameworks and self-serve performance analyses dashboards for online and offline growth channels. Develop channel attribution, build algorithms to predict lifetime value (LTV), predictive, segmentation, and cost optimization models. Lead growth channel experimentation, including developing and evaluating hypotheses for channel optimization and efficiency, and incrementality testing. Build out an in-house A/B testing platform and explore vendor options to facilitate automated experimentation. Develop, validate and implement descriptive and predictive models using statistical and machine learning algorithms. Liaise with Data Engineers to build growth data models and ensure accurate ingestion and transformation of large datasets. Mentor junior data scientists. Identify/explain root causes of business performance and work with Growth leadership team and channel owners to develop actions to accelerate growth. Utilize Business Intelligence/visualization tools (such as Tableau, Mode Analytics, or Looker), Query-based analysis/data analytics, Analytical software tools (such as SQL), data quality assurance. Required: Master’s degree or equivalent in Data Science, Computer Science, Economics, Mathematics or related and three (3) years of experience as a Data Scientist or related. Alternatively, the employer will accept a Bachelor's degree or equivalent and five (5) years of progressive experience as a Data Scientist or related. Three (3) years of experience must include utilizing Business Intelligence/visualization tools (such as Tableau, Mode Analytics, or Looker), Query-based analysis/data analytics, Analytical software tools (such as SQL), data quality assurance. $194,834 to $229,824 per year. Please email resumes to Lauren Runte at lauren.runte@hingehealth.com Applicants must reference HIN222 in the subject line. Show more »
Refcode: #IPCSFC00182161
Company: Hinge Health, Inc.
Location: Various Loc's in U.S. & SF, CA
Position Type: Full Time
Experience: See below
Education: See below
Staff Data Scientist (Product), Hinge Health, Inc, San Francisco, CA and various unanticipated locations throughout the US (up to 100% telecommuting permitted): Drive product strategy and roadmaps through analysis and prioritization frameworks. Lead end-to-end product space experimentation including design, power analysis, set-up, execution, and analysis (leveraging advanced experimentation techniques such as CUPED, winsorization, Bonferroni correction, paired sampling, and clustering). Work with Data Engineers and Analytics Engineers to build data models and ensure accurate/efficient ingestion and transformation of required datasets. Build descriptive and predictive models leveraging Machine Learning methods to create member profiles or predict user behavior/outcomes. Architect and implement new instrumentation with Engineering to accurately measure product spaces. Work with scientific computing languages (R / Python) and SQL. Leverage statistical and analytical concepts (e.g. regressions, A/B testing, clustering, probability, attribution, segmentation) to business problems and adapt/combine approaches to suit the problem at hand. Develop predictive modals for user engagement and segmentation analysis. Build AI-driven self-serve data tooling for stakeholders such as Glean analysis repositories. Leverage AI to architect and develop productionalize code and conduct ad-hoc analyses. Utilize SQL, Query-based analysis, Business Intelligence/data visualization tools, data quality assurance, KPI operational reporting. Required: Master’s degree or equivalent in Data Science, Computer Science, Economics, Mathematics or related and three (3) years of experience as a Data Scientist or related. Alternatively, the employer will accept a Bachelor's degree or equivalent and five (5) years of progressive experience as a Data Scientist or related. Three (3) years of experience must include utilizing SQL, Query-based analysis, Business Intelligence/data visualization tools, data quality assurance, KPI operational reporting. $202,043 to $251,712 per year. Please email resumes to Lauren Runte at lauren.runte@hingehealth.com. Applicants must reference HIN212 in the subject line. Show more »
Location: Various Loc's in U.S. & SF, CA
Position Type: Full Time
Experience: See below
Education: See below
Staff Data Scientist (Product), Hinge Health, Inc, San Francisco, CA and various unanticipated locations throughout the US (up to 100% telecommuting permitted): Drive product strategy and roadmaps through analysis and prioritization frameworks. Lead end-to-end product space experimentation including design, power analysis, set-up, execution, and analysis (leveraging advanced experimentation techniques such as CUPED, winsorization, Bonferroni correction, paired sampling, and clustering). Work with Data Engineers and Analytics Engineers to build data models and ensure accurate/efficient ingestion and transformation of required datasets. Build descriptive and predictive models leveraging Machine Learning methods to create member profiles or predict user behavior/outcomes. Architect and implement new instrumentation with Engineering to accurately measure product spaces. Work with scientific computing languages (R / Python) and SQL. Leverage statistical and analytical concepts (e.g. regressions, A/B testing, clustering, probability, attribution, segmentation) to business problems and adapt/combine approaches to suit the problem at hand. Develop predictive modals for user engagement and segmentation analysis. Build AI-driven self-serve data tooling for stakeholders such as Glean analysis repositories. Leverage AI to architect and develop productionalize code and conduct ad-hoc analyses. Utilize SQL, Query-based analysis, Business Intelligence/data visualization tools, data quality assurance, KPI operational reporting. Required: Master’s degree or equivalent in Data Science, Computer Science, Economics, Mathematics or related and three (3) years of experience as a Data Scientist or related. Alternatively, the employer will accept a Bachelor's degree or equivalent and five (5) years of progressive experience as a Data Scientist or related. Three (3) years of experience must include utilizing SQL, Query-based analysis, Business Intelligence/data visualization tools, data quality assurance, KPI operational reporting. $202,043 to $251,712 per year. Please email resumes to Lauren Runte at lauren.runte@hingehealth.com. Applicants must reference HIN212 in the subject line. Show more »
Refcode: #IPCSFC00182151
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