Senior Associate Data Scientist Rev Ops

Senior Associate Data Scientist

Remote/ Hybrid- London

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About the job

The Revenue Operations Team is looking to hire a Senior Associate Data Scientist to design and deliver analytical solutions for strategic use across the business.

As a Senior Associate Data Scientist you will:

• Lead meetings with division management and our internal customers in other divisions to define the business needs and analytical solutions to drive the business forward.
• Build data order to do this you will understand much of SASs data as it pertains to the analytical requirements of the business. Data assets include feature engineering in order to improve analysis which can in turn enhance the feature store of revenue operations.
• Conduct analysis that helps drive enhanced decision making in both revenue operations as well as other divisions that are supported (e.g. Sales Customer Success Channels).
• Build predictive models again designed to help decision making across the business both supervised and unsupervised methods.
• Ensure deployment of analytics in both a scalable and automated manner (i.e. delivered with tools such as SAS Model Manager into tools such as Revegy Salesloft and CRM systems.
• Ensure all applicable security policies and processes are followed to support the organizations secure software development goals.
• Embrace curiosity passion authenticity and accountability. These are our values and influence everything we do.

Additional Responsibilities

• Provide guidance and support to other team members in delivery of analytical solutions
• Document processes and procedures fully to enable auditing and sharing of content
• Prepare presentations in multiple formats to gain understanding and buy in of work
• Complete monthly reports on core KPIs for key business partners

Required qualifications

• 2 years of relevant professional experience
• Bachelors degree in an analytical field such as Mathematics Statistics or similar. technical quantitative field such as Engineering IT Computer Sciences or equivalent.
• An equivalent combination of related education training and experience may be considered in place of the above qualifications.

Additional competencies knowledge and skills

• SAS Programming skills and knowledge of the latest SAS Software (Visual Analytics Model Studio SAS Studio etc)
• Possess strong business acumen coupled with demonstrated technical ability to know how to develop explore analyze and present data and solutions to a business audience.

You are welcome here.

At SAS its not about fitting into our culture its about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.

Additional Information