At 2U, we are all in on purpose. We are motivated by our mission – to eliminate the back row in education – and connected by our shared passion to deliver world-class digital education at scale. As the parent company of edX, the world’s leading online learning platform, 2U powers more than 4,000 online higher education offerings – from free courses to full degrees. Together with more than 230 colleges, universities, and corporate partners, we are helping to unlock human potential.

What We’re Looking For:

The Data Scientist III will technically lead analytical research, machine learning and other data science initiatives across all lines of business, including degree, executive education, and open course programs. The Data Scientist III would be expected to engage with stakeholders, lead technical solution design and delivery. This is a highly quantitative role that requires analytical aptitude, strong programming skills, and intellectual curiosity. We are looking for someone who is excited about solving business problems, eager to learn and apply experimental and machine learning techniques, and motivated to develop their skills in a collaborative team environment.

Responsibilities Include, But Are Not Limited To:

• Lead statistical analysis, reporting and visualization to support business decision-making across degree, executive education, and open course lines of business. 
• Lead the end to end technical delivery of Data Science projects/models  over use cases that span all lines of business and functional areas, identifying high value opportunities and implementing the solution. 
• Lead design and implementation of A/B tests on Data Science projects/models implemented to determine and size success of solutions. 
• Collaborate with engineers and ML engineers to support productionization efforts, including code development, testing, and integration into the 2U software ecosystem.
• Partner with stakeholders and product to gain domain knowledge, understand requirements, and contribute to planning development tasks and projects.

Things That Should Be In Your Background:

• Bachelor's degree in data science, statistics, mathematics, computer science, economics or other quantitative field required
• 5-10 years of experience in data science or related role
• Proven track record of delivering production-grade machine learning models and data science products that drove significant business impact
• Demonstrated experience designing and analyzing online controlled experiments (A/B testing)
• Proven experience applying analytical techniques such as classification, regression, cluster analysis, pattern recognition, and predictive modeling 
• Strong proficiency in Python and other object-oriented programming languages (R, Java, Scala, or similar)
• Advanced SQL skills and experience querying relational and/or NoSQL databases
• Solid understanding of applied statistics
• Experience with data visualization and business intelligence tools (e.g., Tableau, Looker, PowerBI, Domo, or similar platforms) 
• Familiarity with data engineering concepts and ETL processes 
• Excellent communication skills and ability to work collaboratively in a team environment while receiving moderate guidance and direction 

Other Attributes That Will Help You In This Role:

• Graduate degree or additional coursework in quantitative fields is a plus

Benefits & Culture

Our global employee base is a diverse collection of innovators, dreamers, and doers working together to transform lives through higher education. We believe that every employee can advance our shared purpose, and that life at 2U should be fun and meaningful. If you’re excited by the opportunity to provide over 40 million learners and counting with access to world-class online higher education, then join us – and do work that makes a difference. #NoBackRow

We offer comprehensive benefits (unique per country) and excellent work/life balance.
Full-time, ZA benefits include: 

• 2 complimentary Getsmarter short courses per year
• Subsidised medical aid with Discovery Health Medical Scheme
• 4% 2U contribution towards Discovery Life Pension Fund and Group Risk Benefit
• Employee Assistance Program (EAP)
• Generous leave policy including time off to volunteer for non-profit organization, study leave, sports leave and a company-wide festive season break

2U Diversity and Inclusion Statement

At 2U, we are committed to building and sustaining a culture of belonging, respect, and inclusion. We are proud of the steps we’ve taken to bring together an employee base that embodies diverse walks of life, ideas, genders, ages, races, cultures, sexual orientations, abilities and other unique qualities. We strive to offer a workplace where every employee feels empowered by what makes us different, as well as by how we are alike. 

2U is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodations, please reach out to us at: recruitingaccommodations@2u.com. 

About 2U

For more than a decade, 2U has been the digital transformation partner of choice to great non-profit colleges and universities delivering high-quality online education at scale. As the parent company of edX, a leading global online learning platform, 2U provides over 45 million learners with access to world-class education in partnership with more than 230 colleges, universities, and corporations. Our people and technology are powering more than 4,000 digital education offerings — from free courses to full degrees — and helping unlock human potential. To learn more: visit 2U.com.

About edX

edX is the education movement for restless learners and a leading global online learning platform from 2U. Together with the majority of the world’s top-ranked universities and industry-leading companies, we bring our community of over 45 million learners world-class education to support them at every stage of their lives and careers, from free courses to full degrees. And we're not stopping there — we're relentlessly pursuing our vision of a world where every learner can access education to unlock their potential, without the barriers of cost or location. Learn more at edX.org.

Learn more at https://2u.com/careers/
#NoBackRow

The above statements are intended to describe the general nature and level of work performed by individuals assigned to this position, and are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed.

2U is an equal opportunity employer that does not discriminate against applicants or employees and ensures equal employment opportunity for all persons regardless of their race, creed, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, marital status, disability, citizenship, military or veterans’ status, or any other classifications protected by applicable federal, state or local laws. 2U’s equal opportunity policy applies to all terms and conditions of employment, including but not limited to recruiting, hiring, training, promotion, job benefits and pay. 

2U is strongly committed to diversity within its community and especially welcomes applications from South African citizens who are members of designated groups who may contribute to Employment Equity within the workplace and the further diversification of ideas. In this regard, the relevant laws and principles associated with Employment Equity will be considered when appointing potential candidates. We are required by law to verify your ability to work lawfully in South Africa. 2U requires that you submit a copy of either your identity document or your passport and any applicable work permit if you are a foreign national, along with an updated curriculum vitae.

About us: 

Luno is the crypto investment app you can rely on, enabling you to buy, store and explore crypto securely. We’re committed to putting the power of cryptocurrency in everyone's hands sensibly and responsibly.

Since 2013, we’ve helped millions of people around the world invest safely in crypto. We do this by cutting through the hype and supporting customers at every step of the way. All products and cryptocurrencies on our platform must first meet stringent legal, risk and technical security standards.

Transparency is key for us. Luno stores all crypto on a 1:1 basis and we have rigorous processes in place so you can be confident your investment is secure. We’re available in more than 40 countries around the world and we work closely with respective regulators in all of these markets to be fully compliant, as we believe this is the best way to help everyone, everywhere, invest safely.

About the team: 

The Data community at Luno, comprising Data Engineers, Scientists and Analysts, uncovers valuable insights from the vast amounts of data we gather from our customers and platform. These insights are crucial for guiding our product development and business strategy.

As a Product Data Scientist joining Luno, you would be part of the Product Analytics team providing high quality insights into our product through experimentation and advanced analytics.

Our current technology stack includes Databricks, Thoughtspot, Amplitude and Segment.

The role in a nutshell:

As we accelerate on our mission to put crypto in everyone’s hands, your role is to use data and insights to drive better product decisions and influence the Luno product strategy. This will involve collaborating with cross-functional teams to find, size, prioritise, evaluate and iterate on problems and opportunities to enhance our product. 

This is a hands-on product analytics role focused on experimentation, customer behaviour and data-informed decision-making. While there may be opportunities to apply modelling or machine learning techniques for specific use cases, this is not a production ML-focused role.

Your mission will be:

• Partner with cross-functional product teams including Product Managers, Designers and Engineers to provide product analytics for data-informed decisions.
• Partner with product and marketing teams to evaluate and optimise growth initiatives across acquisition, activation, retention and re-engagement.
• Empower teams with the data, tools and skills required to prioritise initiatives and shape the product roadmap.
• Design and implement event tracking data to unlock actionable insights.
• Define, understand, and test opportunities and levers to improve the product through insights and recommendations.
• Partner with product and marketing teams to design high-quality experiments, interpret results and ensure learnings translate into action.
• Apply analytical techniques such as segmentation, funnel and cohort analysis to deeply understand customer behaviours and journeys.
• Use data and analytics to inform, influence and support execution of the product strategy.

A little about you:

• You enjoy using data to understand complex customer behaviour and turn ambiguity into clear, actionable insights.
• You approach problems in a structured way, forming hypotheses, testing assumptions and iterating based on evidence.
• You’re comfortable influencing product and growth decisions without direct ownership, using data, clear reasoning and storytelling.
• You can balance speed and analytical rigour, knowing when fast, directional insight is more valuable than perfectly polished analysis.
• You communicate confidently with both technical and non-technical stakeholders, adapting your message to your audience.
• You enjoy collaborating with cross-functional partners and value collective outcomes over individual credit.
• You’re curious by nature and motivated to keep learning as tools, techniques and the data landscape evolve.

The ideal Lunaut will have:

• Typically 3+ years of experience in a data, analytics or product analytics role.
• A strong foundation in quantitative disciplines such as Statistics, Mathematics, Computer Science, Engineering or Economics (degree or equivalent practical experience).
• Experience partnering with cross-functional product teams to influence product direction, prioritisation and decision-making using data.
• Demonstrable experience designing, analysing and interpreting experiments (e.g. A/B tests) in a product environment.
• Hands-on experience working with event-level product data to understand customer behaviour and journeys.
• Strong SQL skills and experience working with relational databases.
• Experience using data visualisation and BI tools (e.g. Thoughtspot or similar) to communicate insights.
• Working proficiency in Python (or similar) for analysis and statistical work.
• The ability to translate ambiguous business problems into clear analytical questions and actionable insights.
• Confidence communicating data-driven insights to both technical and non-technical stakeholders.
• Comfort operating in fast-moving, evolving environments and adapting your approach as context changes.
• An interest in crypto and financial products, and curiosity to learn more about the space.

Life at Luno:

• Remote but reachable work policy gives you the freedom to choose between working from home or the office.
• Plus the option to buy and sell up to 5 days leave
• Improve body and mind, with excellent private medical insurance
• Access to Learnably and our additional learning platforms for your personal and professional development
• 6 months primary care-giver leave
• Paw-ternity leave for your furry friend
• Annual Inspiration Day in addition to your annual leave which increases based on your length of service! 
• A collaborative, friendly work community, with regular social events and virtual cooking, dancing, drawing and house planting classes hosted by our Lunauts
• 0 fees up to a certain amount with Luno from the day you start.*

*Offer only available on Luno Instant Buy, not Luno Exchange

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-DNI