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Company: RingCentral, Inc.
Location: Remote US & Belmont, CA
Position Type: Full Time
Experience: See below
Education: See below
Requirements: MS or equiv. in CS, Ntwk’ng/Syst. Admin., etc. + 2 yr. exp. or BS + 5 yrs. exp. req’d. Exp. w/SIP mess’g & trnk’g; VoIP; at least 2 SBC vendors: Ribbon, Acme, Sansay or Freeswitch; IaC for cloud-based telecom; CI/CD using 1 of the following: Terraform, Ansible, or Puppet; version ctrl; at least 1 cloud provider: Azure, AWS or GCP; Kubernetes; Docker; 1 prgrming language: Python, Bash or Go; SQL; Telecom compliance; E911; toll fraud migration tools; at least 1 mirroring/ monitring tool: Homer, VoIP Monitor, or Oracle OCOM; ntwk routing, switching & Firewall; BGP, MPLS & IPSec; SAFe; & Scrum req’d. Apply online at ringcentral.com/company/careers Show more »
Location: Remote US & Belmont, CA
Position Type: Full Time
Experience: See below
Education: See below
Requirements: MS or equiv. in CS, Ntwk’ng/Syst. Admin., etc. + 2 yr. exp. or BS + 5 yrs. exp. req’d. Exp. w/SIP mess’g & trnk’g; VoIP; at least 2 SBC vendors: Ribbon, Acme, Sansay or Freeswitch; IaC for cloud-based telecom; CI/CD using 1 of the following: Terraform, Ansible, or Puppet; version ctrl; at least 1 cloud provider: Azure, AWS or GCP; Kubernetes; Docker; 1 prgrming language: Python, Bash or Go; SQL; Telecom compliance; E911; toll fraud migration tools; at least 1 mirroring/ monitring tool: Homer, VoIP Monitor, or Oracle OCOM; ntwk routing, switching & Firewall; BGP, MPLS & IPSec; SAFe; & Scrum req’d. Apply online at ringcentral.com/company/careers Show more »
Refcode: #IPCSFC00182541
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
Company: Stanford University
Location: Redwood City, CA
Position Type: Full Time
Experience: See below
Education: See below
Database Administrator 2. Stanford University. Redwood City, CA. Hybrid 2 days/week in office & telecommute w/in area of intended employ at em’er’s discretion. Req: Bach degree in CS Engineering or rel field & 8 yrs of exp as an application administrator, database administrator or rel occup or Master’s degree & 6 yrs of exp, $140,600 $174,923per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. Send CV to business-affairs-hr@stanford.edu Show more »
Location: Redwood City, CA
Position Type: Full Time
Experience: See below
Education: See below
Database Administrator 2. Stanford University. Redwood City, CA. Hybrid 2 days/week in office & telecommute w/in area of intended employ at em’er’s discretion. Req: Bach degree in CS Engineering or rel field & 8 yrs of exp as an application administrator, database administrator or rel occup or Master’s degree & 6 yrs of exp, $140,600 $174,923per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. Send CV to business-affairs-hr@stanford.edu Show more »
Refcode: #IPCSFC00181641
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