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Company: Shipt, Inc.
Location: San Francisco, CA
Position Type: Full Time
Experience: See below for details
Education: See below for details
The primary duty of the Data Scientist is to shape and grow marketing intelligence through paid media optimization, experimentation, and web tracking. This position will drive company growth and acquisition. This position requires a Bachelor’s degree or equivalent in Computer Science, Quantitative Management, Business Analytics, Data Analysis, or a related field and one (1) year of experience or post-secondary coursework in data analytics. Must also have experience or post-secondary coursework with each of the following: 1) performing structured qualitative and quantitative marketing analysis, interpret and synthesize data resulting in business recommendations; 2) managing different types of data and developing appropriate Key Performance Indicators (KPIs) for monitoring and measurement; 3) digital marketing tools and measurement of user engagement; 4) utilizing various research methodologies such as A/B testing, causal impact, and regression analysis; 5) customer segmentation and cohort analysis, and distilling findings into clear data-backed presentations, data visualizations, and/or infographics; 6) applying an understanding data infrastructure; and 7) utilizing Python or R, SQL, and data visualization tools such as Tableau. All experience may have been gained concurrently and may have been gained during post-secondary coursework. Salary: $98,155 to $145,110/year Please go to our website for benefits information and to apply: https://www.shipt.com/careers/ or apply by email at careers@shipt.com. Show more »
Location: San Francisco, CA
Position Type: Full Time
Experience: See below for details
Education: See below for details
The primary duty of the Data Scientist is to shape and grow marketing intelligence through paid media optimization, experimentation, and web tracking. This position will drive company growth and acquisition. This position requires a Bachelor’s degree or equivalent in Computer Science, Quantitative Management, Business Analytics, Data Analysis, or a related field and one (1) year of experience or post-secondary coursework in data analytics. Must also have experience or post-secondary coursework with each of the following: 1) performing structured qualitative and quantitative marketing analysis, interpret and synthesize data resulting in business recommendations; 2) managing different types of data and developing appropriate Key Performance Indicators (KPIs) for monitoring and measurement; 3) digital marketing tools and measurement of user engagement; 4) utilizing various research methodologies such as A/B testing, causal impact, and regression analysis; 5) customer segmentation and cohort analysis, and distilling findings into clear data-backed presentations, data visualizations, and/or infographics; 6) applying an understanding data infrastructure; and 7) utilizing Python or R, SQL, and data visualization tools such as Tableau. All experience may have been gained concurrently and may have been gained during post-secondary coursework. Salary: $98,155 to $145,110/year Please go to our website for benefits information and to apply: https://www.shipt.com/careers/ or apply by email at careers@shipt.com. Show more »
Refcode: #IPCSFC00135451
Company: LexisNexis USA
Location: San Francisco, CA
Position Type: Full Time
Experience: See below for details
Education: See below for details
Data Engineering Lead sought by LexisNexis USA in San Francisco, CA, to lead small teams in development/execution of automated operations for large/multiple diverse projects to successfully/consistently enable delivery of high-quality services on time, on budget, to specification. Minimum of Bachelor’s degree or foreign equivalent in Computer Science, Software Engineering, Information Systems, or rltd + 3 yrs exp in job offered or rltd occupations required. Employee reports to LexisNexis USA office San Francisco, CA but may telecommute from any location within US. Interested candidates should apply via following link: https://relx.wd3.myworkdayjobs.com/relx/job/Raleigh-NC/Data-Engineering-Lead_R87328 ($161,246.70 to $201,400/yr) Show more »
Location: San Francisco, CA
Position Type: Full Time
Experience: See below for details
Education: See below for details
Data Engineering Lead sought by LexisNexis USA in San Francisco, CA, to lead small teams in development/execution of automated operations for large/multiple diverse projects to successfully/consistently enable delivery of high-quality services on time, on budget, to specification. Minimum of Bachelor’s degree or foreign equivalent in Computer Science, Software Engineering, Information Systems, or rltd + 3 yrs exp in job offered or rltd occupations required. Employee reports to LexisNexis USA office San Francisco, CA but may telecommute from any location within US. Interested candidates should apply via following link: https://relx.wd3.myworkdayjobs.com/relx/job/Raleigh-NC/Data-Engineering-Lead_R87328 ($161,246.70 to $201,400/yr) Show more »
Refcode: #IPCSFC00135411
Company: MercuryMind Inc. (formerly Horizon Robotics, Inc.)
Location: Cupertino, CA
Position Type: Full Time
Experience: See below
Education: See below
For $172, 931/year. Devlop autnmous drivng prototypes using innovtve deep-learnng algorthms for percpton, predcton, and planning. Reqs: MS (or equiv) in Comp Vision, Comp Eng, or rltd fld. Edu or exp bkgd must incl: Data Structures, Operating Systems, Algorithm Design, Embedded Systems, Machine Learning, and Computer Vision. Any suitable combo of edu, training, or exp is accptble. To apply, mail resumes in attention to: HR, 10050 N Wolfe Road, Unit SW2-130A, Cupertino, CA 95014. Must refer job ID: ARE-2. Show more »
Location: Cupertino, CA
Position Type: Full Time
Experience: See below
Education: See below
For $172, 931/year. Devlop autnmous drivng prototypes using innovtve deep-learnng algorthms for percpton, predcton, and planning. Reqs: MS (or equiv) in Comp Vision, Comp Eng, or rltd fld. Edu or exp bkgd must incl: Data Structures, Operating Systems, Algorithm Design, Embedded Systems, Machine Learning, and Computer Vision. Any suitable combo of edu, training, or exp is accptble. To apply, mail resumes in attention to: HR, 10050 N Wolfe Road, Unit SW2-130A, Cupertino, CA 95014. Must refer job ID: ARE-2. Show more »
Refcode: #IPCSFC00134501
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