Business & Marketing Data Scientist
Job Location:
Mountain View, CA - USA
Hourly Salary:
USD 120 - 130
Posted:
22 October 2026 (Yesterday)
Application Deadline:
19 January 2027
Vacancies:
1 Vacancy
Job Summary
Immediate need for a talented Business & Marketing Data Scientist. This is a 06 Months Contract opportunity with long-term potential and is located in Mountain View CA (Hybrid). Please review the job description below and contact me ASAP if you are interested.
Job ID:26-30049
Pay Range: $120 - $130/hour. Employee benefits include but are not limited to health insurance (medical dental vision) 401(k) plan and paid sick leave (depending on work location).
Key Responsibilities:
Pyramid Consulting Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.
By applying to our jobs you agree to receive calls AI-generated calls text messages or emails from Pyramid Consulting Inc. and its affiliates and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policyhere.
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Job ID:26-30049
Pay Range: $120 - $130/hour. Employee benefits include but are not limited to health insurance (medical dental vision) 401(k) plan and paid sick leave (depending on work location).
Key Responsibilities:
- We are looking for a senior Data Scientist / Data Engineer to support a marketing team on a temporary assignment.
- This role is ideal for someone with strong SQL data engineering data pipeline and data science experience who can independently build data-driven and AI solutions.
- Build maintain and manage data pipelines using strong SQL and data engineering skills.
- Partner with marketing stakeholders to define measurement reporting and analytics requirements.
- Develop data science solutions ranging from reporting/dashboarding to AI and agentic AI solutions.
- Translate business requirements into scalable data and analytical solutions.
- Work independently with minimal day-to-day direction and drive projects from requirements through delivery.
- Collaborate with cross-functional teams to deliver actionable insights and solutions.
- 4 years of experience in Data Science Data Engineering Analytics Engineering or a related field.
- Strong SQL and data pipeline experience.
- Experience building data science / analytical solutions.
- Strong stakeholder communication and problem-solving skills.
- Ability to work independently in a fast-paced environment.
- Experience with AI/ML Generative AI AI agents or Agentic AI.
- Python experience.
- Marketing campaign customer or growth analytics experience.
- Interview Process-2 interview rounds.
- Live SQL/coding assessment will be conducted during the interview.
Pyramid Consulting Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.
By applying to our jobs you agree to receive calls AI-generated calls text messages or emails from Pyramid Consulting Inc. and its affiliates and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policyhere.
#san
Required Experience:
IC
About Company
Drive business growth with Pyramid Consulting’s workforce and technology solutions. We deliver IT services and global talent strategies that scale across industries.