Data Scientist - Marketing Analytics and Reporting

at  AVEVA

London, England, United Kingdom -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate14 Nov, 2024Not Specified16 Aug, 20245 year(s) or aboveData Analysis,R,Statistics,Python,Computer Science,Machine Learning,Data Science,Presentation Skills,Programming Languages,CdpNoNo
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Description:

AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals and minerals – safely, efficiently and more sustainably.
We’re the first software business in the world to have our sustainability targets validated by the SBTi, and we’ve been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We’ve also recently been named as one of the world’s most innovative companies.
If you’re a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at
AVEVA Careers
.
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The Job
The Data Scientist specializing in Customer Data Platform (CDP) plays a pivotal role in leveraging data science techniques to extract insights from customer data within the CDP. Responsible for developing advanced analytics solutions to enhance customer segmentation, personalization, and overall customer experience. Collaborates closely with cross-functional teams to drive data-driven decision-making and optimize customer engagement strategies.
This role reports to the Director of Marketing Analytics and Reporting and with significant visibility at the AVEVA leadership team. The job holder will work closely with the stakeholders across marketing, including product marketing, demand center, regional marketing, and sales operations. This team member will have the ability to clearly communicate performance, insight, and recommendations to key stakeholders.
In the role, the candidate would be a strong team player with exceptional marketing performance reporting understanding. This position will work side-by-side with the Director of Marketing Analytics and Reporting as well as the Americas, APAC and EMEA marketing operations team. It is also critical that this role build a strong working relationship with Sales Operations.

Responsibilities

  • Utilize data science methodologies to analyze and extract insights from customer data within the CDP.
  • Develop predictive models, propensity scores, and customer lifetime value models to optimize customer segmentation and targeting.
  • Implement machine learning algorithms to drive personalized customer experiences and increase customer engagement.
  • Collaborate with data engineers and data architects to ensure seamless integration of data sources into the CDP.
  • Work closely with marketing, sales, and product teams to understand business objectives and translate them into data science solutions.
  • Create visualizations and dashboards to communicate insights and recommendations to stakeholders.
  • Continuously monitor and evaluate model performance, making improvements as necessary to ensure accuracy and relevance.
  • Stay updated on industry trends and best practices in data science and customer analytics.
  • Collaborate with cross-functional teams including data engineering, marketing, sales, and product development.
  • Liaise with IT and business stakeholders to ensure alignment of data science initiatives with business objectives.

Skills and Qualifications

  • Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, or related field.
  • 3-5+ years of experience in data science, with a focus on customer analytics and CDP.
  • Proficiency in programming languages such as Python or R for data analysis and machine learning.
  • Experience with customer data platforms (CDPs) and related technologies.
  • Strong understanding of machine learning algorithms and statistical modeling techniques.
  • Excellent communication and presentation skills, with the ability to translate complex technical concepts to non-technical stakeholders.
  • Proven track record of delivering data science solutions that drive business impact.
  • Ability to work effectively in a collaborative, cross-functional environment.

AVEVA requires all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria.
AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business.
Come and join AVEVA to create the transformative technology that enables our customers to engineer a better world

Responsibilities:

  • Utilize data science methodologies to analyze and extract insights from customer data within the CDP.
  • Develop predictive models, propensity scores, and customer lifetime value models to optimize customer segmentation and targeting.
  • Implement machine learning algorithms to drive personalized customer experiences and increase customer engagement.
  • Collaborate with data engineers and data architects to ensure seamless integration of data sources into the CDP.
  • Work closely with marketing, sales, and product teams to understand business objectives and translate them into data science solutions.
  • Create visualizations and dashboards to communicate insights and recommendations to stakeholders.
  • Continuously monitor and evaluate model performance, making improvements as necessary to ensure accuracy and relevance.
  • Stay updated on industry trends and best practices in data science and customer analytics.
  • Collaborate with cross-functional teams including data engineering, marketing, sales, and product development.
  • Liaise with IT and business stakeholders to ensure alignment of data science initiatives with business objectives


REQUIREMENT SUMMARY

Min:5.0Max:10.0 year(s)

Marketing/Advertising/Sales

Analytics & Business Intelligence

Marketing

Graduate

Data science computer science statistics or related field

Proficient

1

London, United Kingdom