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Data Scientist Sales Engineer

Job Description

Data Scientist Sales Engineer
 
Location
Position can be worked REMOTE, from anywhere on the west coast.
 
Summary
The Data Scientist will work closely with sales team to define and deliver compelling product demonstrations taking advantage of data science capabilities in the Client Platform. Typical use-cases may include predictive maintenance, anomaly detection, and trend-analysis using tools such as Weka, R, and Python and libraries common in machine learning and computational statistics. As a Data Scientist Sales Engineer, you have the opportunity to work on cutting edge use-cases, using the best-in-class technologies for the most forward-thinking customers in a fast-paced environment. Position reports to Sales Engineering Director.
 
Duties
 
•        Perform data analysis using machine learning and other statistical analysis techniques
 
•        Build repeatable demonstrations and train other resources on their use
 
•        Assist in identifying prospective customers who may benefit from data science and provide suggested use-cases
•        Interact with the sales team to provide “best-practice” for use of data science
 
•        Present findings to prospective customers in a compelling manner
 
•        Product Expertise: Conduct technical Q&A sessions and demonstrations around Client product features, installation, configuration, and best practices.
 
•        Lead Evaluations: Design and scope focused evaluation plans that uniquely position Client, are tied to prospect requirements, and prove out business value.
•        Continual Learning: A passion for learning new technologies as needed.
 
 
Required Skills
 
•        Hands-on experience with Python (numpy, pandas, scikit learn, scipy), R, or Weka. Experience with Big Data technologies including Spark MLlib and Structured Query Language (SQL) is a plus. Experience of working with time series data is desired.
 
•        Solid knowledge of machine learning and statistic techniques including regression, clustering, supervised machine learning, group comparison, trend analysis
•        Ability to adapt and learn quickly new techniques, algorithms and methods
 
•        Excellent communication and presentation skills, highly collaborative
 
•        Ability to meet deadlines, use pragmatic approach combined with creativity
 
•        MSc or PhD in a STEM field.
 
Please forward your resume to [email protected] for immediate consideration.
 
#CB

Job Requirements

 

Job Snapshot

Location US-CA-Los Angeles
Employment Type Full-Time
Pay Type Year
Pay Rate N/A
Store Type Engineering & Aerospace, Sales & Marketing, Clinical & Scientific
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Company Overview

Engage Partners, Inc.

EngagePartners brings decades of combined strategic recruitment and talent acquisition expertise. Our multi-tiered collection of Recruiting and Consulting Programs provide distinct levels of services crafted to meet our clients' needs. Whether it's Direct Hire or Temporary Placement, Retained Executive Search, or Consulting Services, eNgage is poised to create the right solution for your staffing needs. What We Do: eNgage Partners is a full service staffing agency. Learn More

Contact Information

US-CA-Los Angeles
Snapshot
Engage Partners, Inc.
Company:
US-CA-Los Angeles
Location:
Full-Time
Employment Type:
Year
Pay Type:
N/A
Pay Rate:
Engineering & Aerospace, Sales & Marketing, Clinical & Scientific
Store Type:

Job Description

Data Scientist Sales Engineer
 
Location
Position can be worked REMOTE, from anywhere on the west coast.
 
Summary
The Data Scientist will work closely with sales team to define and deliver compelling product demonstrations taking advantage of data science capabilities in the Client Platform. Typical use-cases may include predictive maintenance, anomaly detection, and trend-analysis using tools such as Weka, R, and Python and libraries common in machine learning and computational statistics. As a Data Scientist Sales Engineer, you have the opportunity to work on cutting edge use-cases, using the best-in-class technologies for the most forward-thinking customers in a fast-paced environment. Position reports to Sales Engineering Director.
 
Duties
 
•        Perform data analysis using machine learning and other statistical analysis techniques
 
•        Build repeatable demonstrations and train other resources on their use
 
•        Assist in identifying prospective customers who may benefit from data science and provide suggested use-cases
•        Interact with the sales team to provide “best-practice” for use of data science
 
•        Present findings to prospective customers in a compelling manner
 
•        Product Expertise: Conduct technical Q&A sessions and demonstrations around Client product features, installation, configuration, and best practices.
 
•        Lead Evaluations: Design and scope focused evaluation plans that uniquely position Client, are tied to prospect requirements, and prove out business value.
•        Continual Learning: A passion for learning new technologies as needed.
 
 
Required Skills
 
•        Hands-on experience with Python (numpy, pandas, scikit learn, scipy), R, or Weka. Experience with Big Data technologies including Spark MLlib and Structured Query Language (SQL) is a plus. Experience of working with time series data is desired.
 
•        Solid knowledge of machine learning and statistic techniques including regression, clustering, supervised machine learning, group comparison, trend analysis
•        Ability to adapt and learn quickly new techniques, algorithms and methods
 
•        Excellent communication and presentation skills, highly collaborative
 
•        Ability to meet deadlines, use pragmatic approach combined with creativity
 
•        MSc or PhD in a STEM field.
 
Please forward your resume to [email protected] for immediate consideration.
 
#CB

Job Requirements

 
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Data Scientist Sales Engineer Apply now