Job Abstract

Come work at a place where we take pride in creating a workplace environment that values hard work, commitment, and growth.

Education:

• Bachelor’s degree in Computer Science, Data Science, Information Systems/Sciences, Business Analytics, Machine Learning, Information Technology Management or relevant field of study required
• Master’s degree preferred

Work Experiences:

• 3+ years of experience in machine learning and data science, with a focus on developing, customizing, and deploying machine learning models in production environments.
• 2+ years of experience in core Python programming 

Skills:

• Proficiency in Python(Preferred) or R, emphasizing machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. 
• Advanced skills in mathematics, probability, statistical methods, and SQL
• Expertise in supervised and unsupervised learning, including regression, classification, clustering, and deep learning techniques 
• Experience with hyperparameter tuning, model optimization, and performance evaluation.
• Ability to translate business requirements into data science projects and communicate findings effectively to stakeholders using an unbiased, data-driven approach
• Self-motivated and able to work independently and within a team setting
• Analytical, with strong problem-solving abilities and creative resolution skills
• Ability to remain organized, pay strict attention to detail, and meet critical deadlines with high volume, fast-paced environment

Responsibilities:

• Design, develop, and deploy scalable and efficient machine learning models for various applications, including but not limited to predictive analytics, natural language processing.
• Evaluate and implement state-of-the-art machine learning algorithms to address business challenges such as customer LTV/retention/churn prediction, personalized recommendations.
• Lead the resolution of complex challenges by framing problems, hypothesizing solutions, and recommending actions that emphasizing advanced machine learning applications
• Apply MLOps principles and practices throughout the machine learning lifecycle, including model deployment and monitoring. 
• Collaborate with product, marketing, finance, and IT teams to understand business needs and deliver machine learning solutions that drive value.
• Develop tools that assist and partner with data scientists in streamlining the process of creating and prototyping machine learning models (e.g. features store)
• Stay updated with the latest advancements in machine learning and artificial intelligence research, incorporating new methodologies into existing processes. 
• Develop a thorough understanding of Academy’s policies, procedures and safety rules
• Duties may change; team members may be required to perform other duties as assigned

Physical Requirements & Attendance:

• Regular attendance required
• Acceptable level of hearing and vision to perform job duties
• Adhere to company work hours, policies, procedures and rules governing professional staff behavior

Academy is an Equal Opportunity Employer and does not discriminate with regard to employment opportunities or practices on the basis of race, religion, national origin, sex, age, disability, gender identity, sexual orientation, or any other category protected by law.?