Senior Data Scientist

4 weeks ago

Cape Town, Western Cape, South Africa Impact tech Inc Full time
Job Title: Senior Data Scientist

We are seeking a highly skilled Senior Data Scientist to join our team at Impact.com. As a key member of our data science team, you will be responsible for 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.

Key Responsibilities:
  • Design, develop, and fine-tune machine learning models and large language models (LLMs) specifically for targeted applications in digital marketing.
  • Analyze large datasets to extract actionable insights and trends relevant to the partnership landscape.
  • 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.
Requirements:
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A Ph.D. is a plus.
  • 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)
  • Strong problem-solving abilities and experience in modeling and analyzing large datasets to extract meaningful insights and inform decisions.
  • Excellent written and verbal communication skills, with the ability to present complex technical concepts to non-technical stakeholders.
  • Ability to work collaboratively in a cross-functional team environment.
  • Willingness to learn new skills and technologies, and to adapt to the evolving needs of the business.
  • Provide guidance and mentorship to junior data scientists and other team members to foster a culture of learning and growth.
  • At least 5-7 years in data-related individual contributor roles, with demonstrated experience in machine learning/deep learning modeling and data analysis.
  • 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.
Benefits:
  • Unlimited PTO policy
  • Take the time off that you need. We are truly committed to a positive work-life balance, recognizing 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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