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Russell Tobin & Associates
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$134k-166k (estimate)
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Data Scientist
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$134k-166k (estimate)
Full Time 2 Days Ago
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Russell Tobin & Associates is Hiring a Data Scientist Near San Francisco, CA

What are we looking for in our Data Scientist?

Senior Data Analyst
Location: San Fransisco, CA or Seattle, WA (HYBRID)
12 Months contract to hire
Pay Range: $80/hr - $85/hr W2 (Depends upon the experience)
Responsibilities

  • Drive analysis on various projects for Adobe Express to improve the experience of our users.
  • Own data analysis, visualization and communicate the outcomes/insights to various stakeholders to aid strategic decisions.
  • Identify operational weaknesses and help improve or innovate new processes.
  • Coordinate with product and marketing teams to gather requirements and measure the impact and efficiency of new products, campaigns, and initiatives.
  • Develop analytical frameworks to support decision-making.
  • Build, maintain, and communicate detailed reporting & models.
Skills
  • Experience in B to C software product analytics for SaaS and/or mobile apps
  • Ability to code complex SQL queries.
  • Experience with Python or R preferred.
  • High-growth analytics or operations experience
  • Create dashboards in power b/Amplitude.
  • Understanding of statistics concepts.
  • Data modeling / ML skills are a plus.
  • Experience with content / UGC analysis a plus
  • Experience in Product Experimentation, hypothesis testing, AB test framework is preferred.
  • Understanding of statistics concepts.
Pride Global offers eligible employee's comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.

Rate/Salary: $80/hr - $85/hr W2

Job Summary

JOB TYPE

Full Time

SALARY

$134k-166k (estimate)

POST DATE

05/21/2024

EXPIRATION DATE

06/05/2024

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The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.

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If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Scientist job description and responsibilities

Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.

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A data scientist develops software to structure the raw data.

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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

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Data scientists are also expected to have stronger software engineering skills that data analysts.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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Step 3: View the best colleges and universities for Data Scientist.

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