Data Scientist - Cape Town, South Africa - Impact

Impact

Verified Company

Cape Town, South Africa

2 weeks ago

Posted by:

Thabo Mthembu

beBee Recruiter

Description

Our Company:

If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world then this is the place for you.

If you have a desire to work in an organisation that is:

Passionate about its people
Focused on delivering the very best tech to our customers
Offering the flexibility to work how and where you are most successful
Obsessed with our customer's success
The leading SaaS platform to automate partnerships affiliate, influencer, technology partners, and more
Entrepreneurial in spirit with a culture that rewards collaboration and curiosity
Obsessed with making a difference in business and to the wider community

Impact is the global leader in Partnership Automation, working with innovative brands like Ticketmaster, Levi's, Microsoft, Airbnb, and Uber to help them manage their online affiliate, influencer, brand to brand, and content partnerships.

The Impact Partnership Cloud covers the full life partnership lifecycle including onboarding, tracking ads and paying partners, recruiting for new partners, data and marketing intelligence, and protection from fraud.

Founded in 2008, Impact has grown to over 500 employees and ten offices across Europe, the United States, Africa, and Asia so there is plenty of opportunity for growth and advancement.

Your Role at Impact:

At Impact we have an amazing opportunity to leverage machine learning and AI to drive product innovation.

As a data scientist, you will work on our core and business products to help shape the future of what we build at Impact.

You will enjoy working with our rich data set, cutting edge technology, and the ability to see your insights turned into real products on a regular basis.

Partnering with internal and external stakeholders, you will develop new products/features and solve business problems by preparing, analyzing, and understanding data to prototype products/features, deliver insight, predict emerging trends, and provide recommendations to optimize results.

You should have a background in a quantitative or technical field, experience working with large data sets, experience in data-driven decision making, and data story telling through visualization.

You are proficient in big data technologies, Cloud environment, statistical modeling, and machine learning algorithms.

You are passionate and diligent about staying abreast of academic research and industry best practices in the constantly evolving digital marketing landscape.

You are focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and success of a product.

_ This position will be based in Cape Town post Covid-19 and welcomes anyone who is interested in relocating._

What You'll Do:

Colead projects with handson analysis and modeling, drawing from multiple analytical methods to choose the right tool and right level of complexity appropriate for the business challenges
Communicate and visualize insights to multiple levels of stakeholders with clarity, informing decisionmaking. Design and create interactive visualization dashboard to facilitate custom analytics, trouble shooting, data storytelling, and evangelization of ML products to nontechnical audiences
Participate in engagement with internal and external stakeholders to identify, prioritize, frame, and structure complex and ambiguous challenges, where advanced analytics projects or tools can have the biggest impact
Develop comprehensive understanding of Impact data structures and metrics, advocating for product changes where needed
Contribute to Data Science COE knowledge sharing and documentation. Provide mentorship to junior team members
Be a selfstarter, motivated by a passion for developing the best possible solutions to problems

What You Have:

BA/BS in Computer Science, Applied Mathematics, Physics, Operations Research, Statistics or other quantitative Social Science fields. Advanced degree preferred
35 years' experience of tech industry work experience as a data analyst, statistician, or data scientist. Experience in statistical data analysis, such as linear models, multivariate analysis, stochastic models, and sampling methods
Well versed in R, Python, and SQL, and big data query language
Experience with big data and cloud platforms to deploy largescale data science solutions. Working knowledge of distributed computing framework preferred
Experience articulating business questions and using mathematical techniques to arrive at an answer using available data
Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product
Understanding of digital marketing and statistical algorithms typically used in marketing analytics a plus

Benefits/Perks:

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Unlimited PTO policy: