Econometrician / Data Scientist Porto

Econometrician / Data Scientist
Porto
Porto, Porto District, Portugal

Brand
Delta empowers companies around the world to transform the way their Brands can learn and win. Our Brand Intelligence platform is built to enable our clients to understand how consumers perceive their brands faster, deeper and in a more actionable manner with measurable links. We are already optimizing £550m of marketing investment to help Brands Grow across 3 continents. Brand
Delta has ambitious plans for growth, with Porto marked as the centre for our team growth and development. Our Founders have a history building globally awarded AI businesses (e. g. achieving a
- 10 Gartner rating for AI-led insight in 2020 and 2021) and investing heavily back into the Team & the Business.

Role Description:

As a Econometrician, you will be responsible for leading
- series modelling & optimization projects for internally and externally. You will model the impact of Marketing Investment to Brand Performance to help or client in Brand Valuations. And Marketing investment's impact on Sales. We are already serving clients across 3 continents in leading brands. You will also partake in improving our modelling assets as your skills & domain expertise develops.

Requirements

• Bachelor’s degree in the quantitative field, such as Data Science, Statistics, Mathematics, Social sciences, Biological/Physical science, or Computer Science; Masters preferred.
• Strong command of timeseries modelling, marketing mix modelling, and/orprice & promo modelling,
• Proven experience in working with commercial teams, and understanding the organizational needs beyond technology processes
• Appreciation for the underlining business environment that you’ll be modelling
• 2+ years of experience in applying ML/statistical methodologies on large datasets of respondent level, log file, or transactional level
• Ambitious and open to learning many more ML and statistical methods, under mentorship of some recognised AI and software leaders.
• Comfortable with SQL, Python, Excel to prepare, aggregate, or transform data for analysis
• Able to build and convey impactful insights drawing from multiple data sources
• Experience building prototypes and experiments to validate technical ideas
• Skilled at explaining the technical subject matter to
  - technical audiences (in English)

Nice to have:Experience working on an agile software engineering team and working directly with Product Management teams; Microsoft Azure certification, Azure AI Fundamentals, Azure Data Scientist Associate

Preferred Skills/Experience:

• Demonstrates strong interpersonal, communication, and presentation skills
• Ability to explain findings and recommendations to a broad business audience, both internal and external
• Educated on a variety of analytical methods, shapes thinking and influences decisions
• Experience in Consumer / Marketing Analytics with the ability to apply knowledge of and passion for digital, social, mobile media, and other new platforms to provide insight and evaluation that helps clients build stronger consumer connections.
• Effectively handle client projects by balancing tasks to achieve both
  - and
  - term goals

What we offer:

• Health Insurance & Benefits Policy
• Work Setup - Hybrid (~4dpw Wf
  H)
• Hardware and software for remote setup
• Weekly & Monthly All-Hands
• Autonomy and Ownership Culture
• Continuous feedback culture
• We will pay you competitive salary commensurate with what you're worth, as a high performer. We are fully committed to closing the gender pay gap, promoting diversity and inclusivity, and paying people what they deserve to be paid.
• Enjoy the benefits of a flexible work schedule as part of a global team.
• Experience ongoing training and growth opportunities. We will support you with your career endeavours. We are committed to internal progression and offering our team members the best opportunities for growth. We want to invest in you the same way you are going to invest in us!

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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