Senior Data Scientist - Ad Relevance

Our Company:

At impact.com we are passionate about our people, our technology, and are obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading SaaS platform for businesses to automate their partnerships and grow their revenue like never before. We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. 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!

impact.com, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships—including traditional rewards affiliates, influencers, commerce content publishers, B2B, and more. The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go. To learn more about how impact.com’s technology platform and partnerships marketplace is driving revenue growth for global enterprise brands such as Walmart, Uber, Shopify, Lenovo, L’Oreal, Fanatics, and Levi’s, visit www.impact.com.

Your Role at Impact.com:

We are seeking a talented Senior Data Scientist with a passion for applications of generative AI models such as large language models (LLMS) to join our team. You will focus on developing and fine-tuning AI models to support influencer marketing activities, providing actionable insights and recommendations to enhance brand/partner discovery capabilities, contracting, content creation, and performance analysis. Your work will play a crucial role in enabling brands and partners to achieve their goals faster and better, proving that the synergy of AI and human intelligence can drive exceptional results in the digital connected economy.

Please note that this role is to be based in Cape Town

What You'll Do:

• AI Model Development: Design, develop, and fine-tune machine learning models and large language models (LLMs) specifically for targeted applications in digital marketing.
• Data Analysis: Analyze large datasets to extract actionable insights and trends relevant to the partnership landscape.
• Discovery: Develop algorithms for discovering and recommending suitable creators, influencers, and affiliates based on brand requirements, product offerings and market trends.
• Process Optimization: Create models to streamline the contracting and negotiation process between brands and influencers.
• Content Creation: Assist in generating content ideas and strategies using AI-driven insights to enhance engagement and reach.
• Performance Analysis: Build predictive models to evaluate the success of marketing campaigns and provide recommendations for improvement.
• Collaboration: Work closely with product managers, marketers, and engineering teams to integrate AI solutions into the platform.
• Research and Innovation: Stay up-to-date with the latest advancements in AI and machine learning, and continuously explore new techniques and technologies to enhance our product offerings.

What You Have:

• Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A Ph.D. is a plus.
• Technical Expertise:
• Proficiency in Python, and experience with machine learning frameworks/libraries such as TensorFlow, PyTorch, Apache MLlib, or Scikit-learn.
• Strong understanding and demonstrable experience working with large language models (LLMs) and natural language processing (NLP) techniques.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Working knowledge of at least one Big Data processing tech stack (e.g., BigQuery, Databricks, Spark, Snowflake, Redshift, Hadoop)
• Analytical Skills: Strong problem-solving abilities and experience in modeling and analyzing large datasets to extract meaningful insights and inform decisions.
• Communication: Excellent written and verbal communication skills, with the ability to present complex technical concepts to non-technical stakeholders.
• Team Player: Ability to work collaboratively in a cross-functional team environment.
• Adaptability: Willingness to learn new skills and technologies, and to adapt to the evolving needs of the business.
• Coaching and Mentoring:  Provide guidance and mentorship to junior data scientists and other team members to foster a culture of learning and growth.
• Experience: At least 5 - 7 years in data-related individual contributor roles, with demonstrated experience in machine learning / deep learning modeling and data analysis.
• Advocacy: Experience in promoting and building a robust data culture in a team or an organization is preferable.
• Previous experience in a startup or fast-paced environment.

Nice to have:

•  Affiliate & Partnerships Industry Fundamentals Certification by PXA

Benefits:

• Unlimited PTO policy
• Take the time off that you need. We are truly committed to a positive work-life balance, recognising that it is important to be happy and fulfilled in both
• Training & Development
• Learning the advanced partnership automation products
• Medical Aid and Provident Fund
• Group schemes with Discovery & Bonitas for medical aid
• Group scheme with Momentum for provident fund
• Stock Options
• 3-year vesting schedule pending Board approval
• Primary caregiver leave
• Internet Allowance
• Flexible work hours
• Casual work environment
• Technology stipend

impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

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