Data Scientist – Recommender Systems

Bestica Inc.; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

Bestica Inc. is hiring a Data Scientist to enhance its Enterprise Data Solutions team. In this role, you will focus on building advanced machine learning solutions, particularly recommender systems and personalization models, driving impactful business outcomes.

Applicants should have over five years of experience in Data Science, strong Python programming abilities, and fluency with AWS for machine learning workloads. The position involves collaborating with cross-functional teams to deliver actionable insights from complex datasets.

Qualifications

• 5+ years of experience in Data Science / Machine Learning.
• Hands-on experience with recommender systems and personalization models.
• Strong programming skills in Python and SQL.
• Experience with AWS for ML workloads.

Responsibilities

• Build and deploy recommender systems and advanced machine learning models.
• Analyze large datasets to generate actionable insights.
• Design and develop predictive models and deep learning solutions.

Skills

Data Science

Machine Learning

Recommender Systems

Python

SQL

AWS

Statistics

Deep Learning

Generative AI

Azure Machine Learning

Job description

We are looking for a highly skilled Data Scientist to join a growing Enterprise Data Solutions team. This role focuses on building advanced machine learning solutions—especially recommender systems and personalization models—to drive business impact.

You’ll work on complex datasets, develop innovative ML use cases, and translate business problems into scalable data science solutions.

• Build and deploy recommender systems and advanced machine learning models
• Analyze large structured and unstructured datasets to generate actionable insights
• Design and develop predictive models, deep learning solutions, and NLP use cases
• Identify new opportunities by analyzing business processes and data patterns
• Collaborate with cross-functional teams and present insights to stakeholders
• Own the end-to-end data science lifecycle (data prep → modeling → deployment)

Required Skills

• 5+ years of experience in Data Science / Machine Learning
• Hands-on experience with recommender systems / personalization models
• Strong programming skills in Python and SQL
• Experience with AWS (Amazon Web Services) for ML workloads
• Solid foundation in statistics, mathematics, and data analytics
• Experience with machine learning, predictive analytics, and deep learning
• Excellent communication and problem-solving skills
• Experience with Generative AI (GenAI / LLMs)
• Exposure to Azure Machine Learning or other cloud ML platforms
• Certifications such as AWS Certified Machine Learning – Specialty