Salesforce

Enablement Senior Data Scientist

Job description

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Job Category

Products and Technology

Job Details

The Global Sales Intelligence team at Salesforce is looking for a Data Scientist to develop tools and technologies to help our Sales Enablement team achieve extraordinary value. We are looking for someone to join our team to work on groundbreaking R&D projects, to leverage massive structured, unstructured, transactional and real-time data sets from a variety of sources, to analyze usage and behavior patterns. We aim to provide actionable recommendations to enable our sales teams to increase their productivity, remove obstacles and reduce their time spend on on-sales activities.

The ideal candidate will be a key member, working closely with the Global Enablement team to develop methods in causal inference and state-of-the-art recommendation systems. The resulting product will define the next generation of personalized productivity tools and will be essential in lifting key sales performance indicators.

If you are a statistics and machine learning whiz (a.k.a. data scientist) who is equally at home discussing a project with business owners, researchers or developers, thrives on accelerating business growth, is willing to roll his/her sleeves up and do the hard work, and is extremely creative, collaborative, innovative – yet disciplined, methodical and down to earth – we want to hear from you.

Work with us as we develop and apply state-of-the-art big-data techniques, where your work will directly impact the success of Sales operations across Salesforce.

In detail you will:

    • Interact with internal clients to understand their requirements for predictive analytics applications and personalized recommendations.

    • Perform advanced statistical analysis to identify enablement courses, materials, Trailhead courses, training, and other factors influencing sales productivity.

    • Develop, validate, and test predictive, scalable recommendation system to be implemented as part of various internal Salesforce applications.

    • Design executable and scalable experiments to quantify the impact of the recommendations.

    • Understand business goals and initiatives, and combine business modeling skills with outstanding data analysis.

    • Cooperate with the Global Sales Intelligence team to design and execute replicable data acquisition and utilization processes. Acquiring, analyzing, cleaning and structuring data is an essential part of your daily responsibilities.

    • Cooperate with IT and BI teams to ensure integration and implementation of the algorithms you have developed in the production environment.


In order to solve these challenges, you should be able to leverage off-the-shelf or open-source technologies as well as in-house engineering, and feel comfortable with big data solutions, applications and infrastructure:

Required Experience and Skills:

    • Advanced degree in stats, math, CS or another relevant field.

    • 3+ years of industrial machine learning / statistical analytics experience including recommendation system, A/B testing, experiment design, causal inference , or quasi-experimental methods .

    • Experience turning ideas into actionable designs. Able to persuade stakeholders and champion effective techniques through product development.

    • 3+ Experience with production engineering systems with SQL and python.

    • Comfortable working in a dynamic, research-oriented group with several ongoing concurrent projects

    • 2+ year of machine learning product development experience is a plus

    • Experience in collaborating with remote teams is a plus

    • Very strong verbal and written communication skills, excellent presentation skills, and strong influencing and negotiation skills

Accommodations

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