Data Scientist

Job title: Data Scientist

Company: AIMA

Job description: What we do:

Kognitiv enables leading organizations to form collaborative commerce networks, unearth value for their consumers, and markedly improve returns.

Founded in 2008, Kognitiv enables collaborative commerce through its proprietary technology platform and performance model for leading global brands to build their own peer-to-peer trading networks. In June 2020, Kognitiv and Aimia’s Loyalty Solutions companies came together to create a technology-forward business, employing over 500 people across 20 countries worldwide. With 200+ clients and partners in more than 50 markets globally, Kognitiv brings to life a world where brands work together to create new opportunities for less, gain direct access to new audiences, and create network effects where everyone wins, all the time.

About the opportunity:

A Data Scientist is a key role to deliver success, customer experience and effective client engagement for a given loyalty programme. This role effectively works in collaboration with other members of the Data Science team and is responsible for, but not limited to the following; Providing high-quality in-depth analysis and recommendations, reporting and data visualization, presenting findings and analytical insights to other members of the team and/or Kognitiv clients, building predictive models and/or customer segmentations, being a steward of data and analytics across the team and organization, mentoring and providing support to the more junior members of the team (Insights Analyst)

Responsibilities include (but are not limited to):

Machine Learning and Statistical modelling

  • Build machine learning models such as clustering for member segmentation and predictive models to uncover opportunities for maximizing customer wallet share (e.g. upsell/cross-sell/retention)
  • Effectively use ML algorithms such as regression, decision trees, KNN, K-means clustering to answer relevant problem statements
  • Improving/innovating the modelling approach and/or codebase itself to enhance e.g. speed and quality and use of computation resources (so a more cost-effective codebase)
  • Embedding version-control, code review, documentation in the development process
  • Develop and implement new analytical methodologies and techniques for clients

In-depth Analysis, Post campaign analysis

  • Gather business requirements and then translate into analytics objectives and analysis plan that you and the team can begin working towards
  • Analyze complex business issues and effectively communicate meaningful insights based on data trends/patterns found in data
  • Identify the need and type of hypothesis test to apply for different measurement requirements
  • Support development of clean, concise and digestible visualizations and dashboards for the team and/or client to use and gain insight from
  • Conduct in-depth analysis and post-campaign analysis to evaluate ESPs performance & ROI, and provide recommendations for improvement
  • Deliver insights and recommendations, via summary or presentations (slides), to internal teams in a client-ready state

Team ambassador

  • Provide consultancy to analysts and project teams on interpretation of results, modelling process and any limitations there might have to support reporting
  • Being able to work against tight deadlines, without compromising quality of the output
  • Mentoring and providing support to the more junior members of the team via training sessions, shadowing, code sharing, analysis scoping & planning
  • Translate Analytics findings into actionable insights and recommendations for the internal teams to fully integrate DS into the overall Kognitiv packages served to clients

Who are you?

Minimum Qualifications:

  • Bachelor’s degree in Business, Analytics, Computer Science, Management Information Systems, Statistics or related field
  • Expert in SQL, Python, and related Python libraries (pandas, NumPy) or R
  • Domain expertise in statistics, mathematics, and probability.
  • A storyteller with data visualization tools such as Tableau, PowerBI has an advantage
  • Preferably, have prior experience or interest Alteryx
  • Strong Microsoft Suite skills, especially with Excel & PowerPoint

Preferred Qualifications:

  • Ideally 4-5 years of relevant analytical experience
  • Prior experience building predictive modelling and member segmentation models
  • Experience and understanding of A/B and multivariate testing best practices and application
  • Experience with AWS technology stack including Redshift
  • Experience with version control and code hosting services (e.g. Bitbucket, Github)
  • Comfortable synthesizing and presenting technical concepts and insights

We are a passionate, innovative organization with just over 500 team members globally and we are looking for exceptional people to come and join us. This is an exciting opportunity to work for an international business, in a high energy environment with a collaborative, smart and passionate team. If you like the sound of us and the role: get in touch!

Here at Kognitiv, we don’t just accept difference – we celebrate it! Greater diversity means greater variation in ways of thinking, perspectives and approach. And we thrive on it for the benefit of our employees and our clients. Kognitiv are committed to creating an inclusive environment and all employment is decided on the basis of qualifications, merit, fit and business need. We always welcome international candidates to apply providing they are eligible to work and live in Dubai.

Expected salary:

Location: Dubai

Job date: Wed, 02 Feb 2022 23:56:52 GMT

Apply for the job now!

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