Principal Product Data Scientist, Salesforce

$192.2-334.6k

Salary is partially dependant on applicant's location

Python

Airflow

Salesforce

Hadoop

Spark

Hive

Slack

Senior and Expert level

Chicago

New York

San Francisco Bay Area

World's leading CRM provider

Open for applications

World's leading CRM provider

1001+ employees

B2BArtificial IntelligenceEnterpriseInternal toolsLead generationAnalyticsCloud ComputingSales

Open for applications

$192.2-334.6k

Salary is partially dependant on applicant's location

Python

Airflow

Salesforce

Hadoop

Spark

Hive

Slack

Senior and Expert level

Chicago

New York

San Francisco Bay Area

1001+ employees

B2BArtificial IntelligenceEnterpriseInternal toolsLead generationAnalyticsCloud ComputingSales

Company mission

To empower companies to connect with their customers in a whole new way.

Job

Company

Role

Who you are

We look for people who are curious, bold, and eager to improve every day
Our team values being smart, humble, hardworking, and above all, collaborative
7+ years of experience in data science or quantitative analysis, preferably in technology product development or enterprise software
A related technical degree required; an advanced degree (MS, PhD) in a quantitative field (e.g., Mathematics, Economics, Statistics, Physics, Quantitative Psychology, Engineering, etc.) is a strong plus
Expertise in at least one programming language for data science (e.g., Python, R)
Experience working with large-scale data technologies (e.g., Spark, Presto, Hive, Hadoop). Expertise in Apache Airflow is a strong plus
Strong executive communication skills, with the ability to translate complex data into clear, actionable insights
Cross-functional collaboration and influencing skills, with a track record of impacting decisions at both strategic and executional levels in a large corporate environment
Experience designing advanced data pipelines and schemas for scalability and efficiency
Strong statistical and machine learning knowledge, with experience building descriptive and predictive models
Expertise in DS measurement methodologies, with the ability to translate technical data into meaningful takeaways for non-technical stakeholders

What the job involves

As a Principal Product Data Scientist, you will work closely with data science teams and cross-functional partners to derive insights from data, communicate key findings to executives, and directly drive best practices in product strategy building and implementation
You’ll partner with Product, Design, and Engineering (PDE) to contribute directly to product development—shaping what we build, how we measure success, and when/how we iterate and improve
Apply advanced data science techniques to analyze Slack product usage patterns, identifying what’s working, what’s not, and opportunities for improvement
Conduct evidence-based evaluations to determine key drivers of Slack’s product growth
Define and report key success metrics, effectively communicating insights to Slack and Salesforce leadership to enable executive level decision making and follow-ups
Synthesize insights across different product areas and business outcomes, identifying correlations and causal relationships that drive success
At principal level, Serve as a domain expert in product data science, guiding best practices and advancing data science methodologies and operations
Champion evidence-based decision-making, making data and insights accessible and scalable for stakeholders at all levels

Our take

Salesforce is a global cloud computing company, best known for its on-demand, comprehensive customer relationship management (CRM) solutions. The company was launched to mitigate the doubts that business owners felt regarding third party companies holding their data.

By providing essential, customer-oriented CRM software, Salesforce places itself at the heart of digitised businesses. Furthermore, by building out its AI capabilities, the company removes the complexity of AI, enabling any business to deliver smarter, personalised and more predictive customer experiences.

Due to the continued innovation offered by the company, over 150,000 companies, both big and small, are growing their business with Salesforce today. Despite a tumultuous 2023 filled with activist investors, a boardroom shake-up and the unprecedented step-down of Co-CEO Bret Taylor, Salesforce continues to close several acquisition deals and managed to drive up its stock value by 96% from the end of 2022 to 2023.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

-8% employee growth in 12 months

Glassdoor (4.1)

Trustpilot (1.5)

Company

Funding (last 2 of 4 rounds)

Jun 2001

$46.9m

SERIES D

Nov 1999

$13.2m

SERIES C

Total funding: $64.5m

Company benefits

With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year

Company HQ

Financial District, San Francisco, CA

Leadership

Marc Benioff

(Chair & CEO)

Previously Senior Vice President at Oracle Corporation for 13 years.

Parker Harris

(CTO)

Previously worked as a Software Engineer for over six years. Harris also co-founded Left Coast Software.

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