WeArisma is an influencer marketing solution helping brands and agencies understand, measure and optimise influencer marketing RoI. We help clients increase the effectiveness of their influencer marketing strategy and grow brand equity.
As the importance of influencer marketing grows and as the industry matures, so does the need for independent effectiveness specialists. Join us in our mission of bringing independent measurement, accountability and effectiveness to the industry.
You will be joining us at a very exciting time of growth, we have received investment from Morgan Stanley and have been named one of the most promising AdTech companies by Business Insider.
We are looking for a Data Scientist to accelerate their career in the influencer marketing industry.
We have a fantastic culture with a collaborative environment where everyone pitches in and has the chance to excel.
As a Data Scientist, your responsibilities will encompass extracting data from multiple sources and utilising machine learning techniques to organise and process the data. You will be responsible for cleaning, validating, and analysing the data to uncover valuable insights and patterns.
Additionally, you will work closely with the product manager to build prototypes that address the specific needs of the users. Your understanding of commercial problems and user requirements will play a crucial role in developing predictive systems that drive business growth and decision-making.
To succeed in this position, you will need to present data in a clear and concise manner, providing actionable recommendations to stakeholders. Your ability to propose innovative solutions and strategies, based on your commercial knowledge and collaboration with the product manager, will be essential in driving the success of the business.
- Collaborate with engineers, product managers, and other stakeholders to gain a deep understanding of commercial problems and user needs.
- Collecting, processing, and analysing large and complex data sets using statistical and machine learning techniques.
- Conducting comprehensive data exploration and analysis to identify trends, patterns, and correlations within the data, using advanced statistical techniques and machine learning algorithms
- Working closely with engineers, product managers, and other stakeholders to improve data collection, storage processes, and integrate data science solutions into the company’s products and services.
- Ensuring the quality, accuracy, and consistency of data used for analysis and working with engineers to improve data collection and storage processes.
- Communicating complex data analysis and insights within the team in a clear and concise manner, both verbally and in written form.
- Contributing to the development of data science best practices and helping to build a culture of data-driven decision-making within the company
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Proven experience in a data scientist role or a related position, demonstrating proficiency in handling and analysing large datasets, extracting valuable insights, and applying advanced analytical techniques to address business challenges.
- Strong understanding of commercial problems and experience collaborating with product managers to develop data-driven solutions.
- Technical Skills:
- Proficiency in statistical programming languages such as R or Python, and database query languages like SQL.
- Experience with applied statistical skills, including statistical tests, distributions, regression, maximum likelihood estimators, and other relevant techniques.
- Knowledge of machine learning methods such as k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests, and practical application of these algorithms to real-world data.
- Familiarity with NoSQL databases, such as MongoDB.
- Experience with data visualisation tools and libraries is a plus.
- Strong problem-solving and critical thinking abilities, with great attention to detail and a focus on ensuring data accuracy and quality.
- Excellent verbal and written communication skills, with the ability to present complex data analysis and insights in a clear and concise manner to both technical and non-technical audiences.
- Proven ability to plan, prioritise tasks, and manage time effectively to meet deadlines and achieve goals.
- Strong team working skills and a collaborative approach to sharing ideas, finding solutions, and contributing to a positive work environment.
- English Mandatory.
With the boom of social media, the growing need for authenticity in brand communications and the recent changes in advertising personal data policies, brands are shifting budgets from traditional media and social platforms to influencer marketing. The channel is now a key part of the digital media mix, expected to grow by 32% p.a. over the next 4 years.
3 in 5 consumers trust influencer recommendations. Done well, influencer marketing can grow brand equity and increase RoI for brands. Yet, 4 in 5 brands say measuring influencer marketing RoI is a challenge. This is where we come in to solve one of the industry’s biggest challenges.
Our solutions enable professionals from brands and agencies to develop impactful influencer strategies, evaluate the effectiveness of influencer partnerships and optimise return on investment.
We empower our clients across multiple sectors with the tools they need to revolutionise their influencer marketing approach, and our technology is designed to be easy-to-use for everyone – from practitioners to C-level executives.
WeArisma was one of the first influencer marketing solutions, founded in 2015 by Jenny Tsai, a prominent and inspiring leader in digital marketing whose work enabling influencers and brands to connect and establish hugely successful partnerships has transformed the world of influencer marketing.
Since our inception in 2015, we have been powering some of the world’s most valuable luxury brands and fortune 500 brands like New Look, Coty and more, with user-friendly software, intelligent and independent data and actionable insights.
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