
Machine Learning Strategist
2 days ago
We are seeking a highly skilled Machine Learning Specialist to join our team. As a key member of our data science team, you will be responsible for designing, developing and implementing machine learning models to drive business growth and improve our payment KPIs.
Key Responsibilities:
- Design and develop machine learning models to predict transaction outcomes, reduce costs, and improve authorization rates.
- Create innovative features and data for payment models, execute and deliver impact, align with stakeholders, and implement these capabilities.
- Communicate complex analysis results in a clear and effective manner.
- Collaborate with other ML scientists, product managers, and engineers to formulate innovative ideas and test/ implement through advanced data science techniques.
- Lead multiple projects focusing on impact and mentor junior members of the data science team.
Requirements:
- Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.).
- 10-15 total years of experience in IT and 6+ yrs. of relevant industry experience with demonstrable skill and aptitude for navigating ambiguity by research and applying core ML knowledge.
- In-depth knowledge of machine learning algorithms, explainable AI methods, neural networks, logistics/linear regression, tree-based methods, and NLP.
- Demonstrated record of building and deploying end-to-end ML solutions in a production environment.
- Ability to write scalable production-quality code in Python and design and implement data engineering pipelines using technologies like SQL, BigQuery, or Spark.
- Hands-on experience with popular ML frameworks and packages such as TensorFlow and PyTorch. GCP/Hadoop and big data experience – an advantage.
- Experience managing a team leading ML projects and great record delivering solutions with attention to detail and efficiency.
- Experience shipping Realtime models a big plus.
- Ability to communicate effectively and establish constructive relationships with business and engineering partners.
- Ability to work effectively both independently and in a team environment.
About Us:
We are a dynamic team dedicated to innovation and excellence in machine learning. We offer a collaborative and supportive work environment that fosters growth and development.
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