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Data Scientist
Redolent San Bruno, CA
$134k-166k (estimate)
Full Time 5 Months Ago
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Redolent is Hiring a Data Scientist Near San Bruno, CA

One of our direct client is urgently looking for a Data Scientist @ San Bruno, CA
TITLE: Data Scientist - Marketing/Advertising
LOCATION: San Bruno, CA
Duration: 6 to 12 Months 
Client inputs
  • Marketing Mix model or media experience
  • Strong Python programming
  • Good statistical background
  • PhD degree preferred ( not must )
  • Past experience with Media Analytics company is desired
  • A/B testing a plus
Description:
We are seeking an experienced data science individual contributor to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e.g. predictive modeling, segmentation, etc)
Responsibilities
• Perform hands-on modeling and complex analyses using Python, SQL and/or R
• Build and enhance media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes
• Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations Marketing leadership and CMO
• Present media mix insights to different levels of senior clients
• Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems
• Partner with cross-functional team to streamline data science solutions
• Integrate disparate data sources and leverage state-of-the-art analytics best practices in order to deliver integrated actionable insights to partners and senior leadership around digital marketing optimization
Minimum Qualifications
• Master's degree in statistics, economics, operations research, engineering, or related field
• 6 years of industry experience in data science, measurement, marketing strategy & analytics
• Strong communication skills to ‘tell a story’ that provides insight into the business
• Proficient coding skills (SQL/Python/R) and database knowledge
• Extensive experience with predictive modeling algorithms
• Strong project management skills, including managing technical resources and multiple priorities & milestones.
• You have a passion for working in a fast-paced agile environment.
• A collaborative mindset and sense of curiosity
Preferred Qualifications
• PhD degree in Statistics, Economics, Operations Research, or related field
• Experienced in building market mix and multi-touch attribution models
• Experience with advertising, measurement, and/or digital marketing analytics
• Experience with advertising technology platforms Ad servers, DSPs, DMPs, etc.
• Advanced programming skills with experience of creating Python modules
• Experience with A/B and Multivariate test design and implementation

Job Summary

JOB TYPE

Full Time

SALARY

$134k-166k (estimate)

POST DATE

12/13/2023

EXPIRATION DATE

06/22/2024

WEBSITE

redolentech.com

HEADQUARTERS

San Jose, CA

SIZE

25 - 50

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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.

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.

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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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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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