Data Scientist, Salesforce

Posted 10 Days Ago
Hiring Remotely in United States
Remote
Mid level
Marketing Tech • Analytics
The Role
The Data Scientist will develop algorithms and predictive models for Salesforce applications, utilize data wrangling and visualization tools, manage data as a product, and collaborate with teams to improve user experience through experimentation and strategic analysis.
Summary Generated by Built In

Description

At Horizontal Digital, we hold ourselves to one key belief: You’re only as good as your worst customer experience. This mantra is what drives our digital consultancy to think beyond the easy answers and instead create websites, apps, portals and other experiences that solve customer needs for Fortune 500 companies in intuitive and empathetic ways. And we make this lofty standard a reality by fusing strategy, data, design and technology together to arrive at solutions that set the bar higher for everyone. 


We use these values to fuel superior results: 
 

Lock arms 
We forge relationships that make our impact 1,000x stronger. This means working across departments and engaging both our clients and our communities to deliver the greatest good. 

Show hustle 
We’re not ones to sit on our hands and wait. Instead, we anticipate opportunities, collectively roll up our sleeves and find ways to execute the exceptional. 

Embrace change 
From new technologies to workplace philosophies, we welcome the unexpected and constantly anticipate what’s next. 

Elevate empathy 
We listen before we take action. This means understanding a variety of perspectives and holding ourselves to a higher standard of accountability. 

Never settle 
We motivate each other to push past the easy answers and collectively arrive at bigger, more inspiring ideas. 

 
But enough about us. Let’s talk about you. 

What you’ll do: 

  • Develop algorithms and predictive models to solve critical business problems for Salesforce, including the development of smarter CRM applications 
  • Build solutions using modern data wrangling, analysis, and visualization tools  
  • Develop tools and libraries that will help us to surface deeper more valuable insights faster                  
  • Design and develop insightful analytics deliverables via a variety of techniques including requirements gathering, data profiling, data analysis, statistical analysis, predictive modeling, use case definition, data visualization, and data storytelling 
  • Define logical data models and develop the required supporting data architecture (e.g., reporting aggregates, data layer, data mart) 
  • Manage data and insights as a product, partnering with other data intelligence functions to develop and deliver data assets, such as dashboards and data applications 
  • Leverage programming skills, statistical techniques, and data science practices - such as experimentation, forecasting, clustering, etc to wrangle data and deliver relevant and trustworthy insights 
  • Combine knowledge and expertise across the entire team, to distill key learnings and co-develop action plans with teams 
  • Interface with product teams and executives, modulating communication to match the audience            


Who you are: 

  • You are a hands-on analyst 
  • You have an experimentation mindset 
  • You are excited about measuring the user experience and iterating through an experimental approach 
  • You are a strategic thinker 
  • You are advanced in common analytical programming languages (e.g. Python or R) and SQL 
  • You have strong understanding of statistical methods 
  • You are familiar with end-to-end data development, including data model design, quality review, deployment, and maintenance 
  • You are proficient in telling data stories in a wide-range of formats, including slides, charts and dashboards 
  • You are able to plan projects in detail, set schedules, coordinate resources across product, data, and engineering teams, execute project end-to-end, and make sure deadlines and quality expectations are met 


What you bring:  

  • At least 4 + years of professional experience in product analytics or data science 
  • Strong expertise in at least two of the following the clouds: Sales Cloud, Service Cloud, Experience Cloud, Data Cloud, Marketing Cloud 
  • Advanced expertise in the following Analytics applications:  Salesforce CRM Analytics, Tableau, Marketing Cloud Intelligence 
  • Experience in the field of business intelligence, data science, information management, or consulting.  
  • Experience with at one or more of the following: modern data wrangling, statistical data analysis, or visualization tool (e.g., Tableau, SQL, Python, R, Alteryx, Einstein Analytics, Datorama, PowerBI, Qlik, Spotfire, QuickSight, Data Studio, Looker, etc.)  

Keywords: Salesforce, Salesforce Data Scientist, data, data intelligence, Einstein, Tableau, Tableau CRM, CRM Analytics, Einstein Analytics, predictive analytics, recipes, Datorama, dashboards, analytics studio, data science, data visualizations, widgets 

The above description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. 

Top Skills

Python
R
SQL
The Company
HQ: Minneapolis, MN
369 Employees
On-site Workplace
Year Founded: 2003

What We Do

Horizontal Digital is an experience forward consultancy that invests in understanding the needs, wants and ambitions of customers through the data they provide — data that is unlocked across every digital experience and engagement. We use this data to meet customers in the right moment, at the right time, on the right channel. And we amplify these moments with precise strategies, technologies and creative approaches to maximize their value.

Founded in 2003, we are a certified Minority Business Enterprise that proudly invests in diversity and growth of our in-house talent as well as our local communities through charitable and on-site volunteer efforts.

Horizontal Digital is headquartered in Minneapolis, MN. Additional U.S. offices are in Denver, Dallas and Indianapolis, with a global presence in Dubai; U.A.E.; Bengaluru, Vadodara and Pune, India; and Kuala Lumpur, Malaysia.

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