Data Scientist-Remote
Ardent Blue Technologies is a software development and staff augmentation company doing business since 2011. We have secured well recognized Fortune 500 clients in a number of domains including game development, game/film/architecture tools, game anti-cheat, IoT, VR and others.
Our client seeks a Data Scientist specializing in machine learning engineering to develop efficient, data-driven AI systems that enhance our predictive automation features. The ideal candidate will possess strong skills in statistics and programming, demonstrating the ability to confidently evaluate, analyze, and manage large datasets. Additionally, the candidate should be capable of conducting tests and optimizing the company's proprietary machine learning models and algorithms. Our client is a premier provider of casino games, crafting content for diverse platforms including mobile, online, and social markets. This is a full time employee position (Remote) and requires living in Eastern Atlantic or Central time zones
RESPONSIBILITIES:
- Design and implement machine learning algorithms and deep learning applications and systems.
- Address complex challenges involving multilayered datasets and enhance existing machine learning libraries and frameworks.
- Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications.
- Identify variations in data distribution that may impact model performance in real-world scenarios.
- Ensure algorithms produce accurate recommendations for users.
- Keep abreast of advancements in the machine learning field.
- Analyze and refine data science prototypes, applying suitable machine learning algorithms and tools.
- Conduct machine learning tests and experiments while documenting findings and results.
- Train, retrain, and monitor machine learning systems and models as required.
- Build optimized data pipelines to support machine learning models.
- Consult with management to define and enhance machine learning objectives.
- Expand existing machine learning libraries and frameworks.Projects they will potentially work on are:
- Working on Price Optimization engines , Marketing optimization automation, user acquisition, CRM automation and Churn prediction model projects
- Additional responsibilities may arise as the role evolves in response to technological advancements and the growing needs of the business.Development of Data Pipelines: Devise, construct, and maintain robust, scalable data pipelines for the extraction, transformation, and loading (ETL) of data from diverse sources.
QUALIFICATIONS:
- Bachelor’s degree in Computer Science, Mathematics, or a related field.
- Proven experience as a machine learning engineer or similar role
- Experience with Python
- Experience with Java and R a plus
- Excellent communication and collaboration skills
- Innovative mind with a passion for continuous learning
- General knowledge of building machine learning systems
- Experience with some machine learning frameworks such as PyTorch or Tensorflow