Salesforce

Staff Data Scientist - Research & Analytics

Salesforce

New York, NY, USA
Full-TimeDepends on ExperienceMid-LevelPhd or Professional
Job Description

We’re looking for a passionate and motivated Staff Data Scientist - Research & Analytics to join the Salesforce family. As a Staff Data Scientist, you will be an integral part of the research and analytics team, working with our data scientists, engineers, and business partners to develop and implement innovative data driven solutions. The ideal candidate will have a background in quantitative analysis and a passion for data-driven decision making, with an understanding of how data science can be used to drive business impact. To be successful in this role, you’ll need a combination of technical skills and business acumen, along with the ability to bring together diverse teams to execute projects.Qualifications:• Advanced degree in a quantitative discipline (e.g. Mathematics, Statistics, Economics, Computer Science, etc.)• Minimum 5+ years of experience in a research, analytics, or data science role• Experience with large-scale data analysis, and familiarity with writing code in Python and SQL• Strong problem-solving skills and the ability to think strategically and build relationships• Experience in predictive modeling and optimization techniques• Excellent verbal and written communication skills, with the ability to effectively communicate complex technical concepts to a non-technical audience

Responsibilities:

  1. Develop and implement innovative data-driven solutions to meet business objectives.
  2. Analyze large-scale data sets to identify trends and develop insights.
  3. Design and execute predictive models and optimization techniques.
  4. Collaborate with data scientists, engineers, and business partners to execute projects.
  5. Write code in Python and SQL to facilitate data analysis.
  6. Communicate complex technical concepts to a non-technical audience.
  7. Develop and maintain relationships with stakeholders.
  8. Utilize problem-solving skills and strategic thinking to identify opportunities for improvement.
  9. Implement best practices for data security and privacy.
Where is this job?
This job is located at New York, NY, USA
Job Qualifications
  • Data Analysis

  • Computer Science

  • - Phd In A Quantitative Field Such As Statistics

  • Mathematics

  • Data Science

  • Economics Or Related Field

  • - + Years Of Relevant Professional Experience

  • - Proven Experience In Data Modeling

  • And Machine Learning Algorithms

  • - Proficiency In Programming Languages Such As Python

  • R

  • Sql And Other Statistical Software

  • - Experience With Statistical And Data Mining Techniques Such As Regression

  • Clustering

  • Time Series Analysis And Predictive Modeling

Required Skills
  • Research

  • Sql

  • Programming

  • Python

  • Algorithms

  • Big Data

  • R

  • Machine Learning

  • Data Visualization

  • Cloud Computing

  • Data Mining

  • Data engineering

  • Modeling

  • Analysis

  • Statistics

Soft Skills
  • Communication

  • Leadership

  • Time management

  • Interpersonal Skills

  • creativity

  • Organization

  • Critical thinking

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Staff Data Scientist - Research & Analytics in New York, NY, USA is $118,000 - $162,000 per year.

Additional Information
Salesforce is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedAugust 10th, 2023
Apply BeforeJanuary 20th, 2025
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About Salesforce

Salesforce.com, Inc. is an American cloud-based software company headquartered in San Francisco, California. It provides customer-relationship management service and also sells a complementary suite of enterprise applications focused on customer service, marketing automation, analytics, and application development.

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