Job Description

On behalf of HealthTech Client #3, SD Solutions is looking for a talented Data Scientist.

SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.

Responsibilities:

• Lead the design, implementation, and deployment of ML/DL algorithms
• Apply quantitative analysis and an insightful presentation of data to see beyond the numbers and understand how our users interact with our growth product.
• Apply data mining techniques, perform statistical analysis, and build high-quality predictive models
• Meet the business vision and strategy in accordance with the product innovation backlog
• Collaborate with the product and engineering teams to deliver usable and informative analytical interfaces

Requirements:

• 5+ years of experience in Data Science. Experience in developing ML / DL / LLM / NLP algorithms.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field, with a significant focus on machine learning.
• High proficiency in Python and SQL
• Knowledge of cloud infrastructure AWS/GCP.
• Excellent understanding of machine learning techniques, algorithms, and methodology
• Experience with common data science toolkits, such as Pandas, Scikit-learn, TensorFlow, FeatureTools, and more
• High-level applied statistics skills, such as distributions, statistical testing, etc.
• Experience in data mining and insight drawing from large data sets
• Data-oriented personality, analytical mind, and problem-solving aptitude
• Experience in Constraint programming or Network science - an advantage
• A team player and a can-do attitude, delivery-oriented
• Fluent in English, both written and verbal

Advantages:

• Knowledge and experience of classic programming, software engineering methodologies, and concepts
• Combinatorial optimization and constraint programming experience
  

About the company:

An AI-driven startup focused on optimizing healthcare operations. The platform applies artificial intelligence, network science, and advanced optimization algorithms to help healthcare providers improve planning, scheduling, and operational efficiency — enabling better patient care through smarter resource management.

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