Senior Data Scientist, Salesforce

$151.8-227.7k

SQL

AWS

GCP

Python

Tableau

Hadoop

Pandas

Junior level

San Francisco Bay Area

More information about location

Office located in Palo Alto, CA

World's leading CRM provider

Job no longer available

World's leading CRM provider

1001+ employees

B2BArtificial IntelligenceEnterpriseInternal toolsLead generationAnalyticsCloud ComputingSales

Job no longer available

$151.8-227.7k

SQL

AWS

GCP

Python

Tableau

Hadoop

Pandas

Junior level

San Francisco Bay Area

More information about location

Office located in Palo Alto, CA

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

Salesforce Inc. seeks Senior Data Scientist in Palo Alto, CA
Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a related quantitative discipline, and two (2) years of experience in the job offered or in any occupation in related field
A related technical degree required (Computer Science, Engineering (any field))
2 years in each of the following: (1) Python (Pandas, sklearn, matplotlib); (2) Pyspark; (3) Hadoop; (4) SQL; (5) Tableau; (6) R; (7) cloud based platforms such as AWS and GCP; (8) Cross-functional Communication; and 1 year in each of the following: (9) Experiment Design; (10) A/B testing; (11) Statistical and Machine Learning techniques (such as XGBoost or LSTM); (12) Causal Inference; (13) uplift modeling, propensity models; (14) simulation and optimization
Any suitable combination of education, training and/or experience is acceptable
Telecommuting is an option
Some travel to Salesforce offices may be required

What the job involves

Develop statistical and machine learning models to improve marketing effectiveness - e.g. , marketing attribution models, causal inference models, uplift models, etc
Develop optimization and simulation algorithms to provide marketing investment and allocation recommendations to improve ROI by optimizing spend across marketing channels
Own the full lifecycle of model development from ideation and data exploration, algorithm design and testing, algorithm development and deployment, to algorithm monitoring and tuning in production
Design experiments to support marketing, customer experience, and digital campaigns and develop statistically sound models to measure impact
Collaborate with other data scientists to develop and operationalize consistent approaches to experimentation and campaign measurement
Be a master in cross-functional collaboration by developing deep relationships with key partners across the company and coordinating with working teams
Constantly learn, have a clear pulse on innovation across the enterprise SaaS, AdTech, paid media, data science, customer data, and analytics communities
Telecommuting is an option
Some travel to Salesforce offices may be required

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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