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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Skills Required
- 5+ years of experience in Data Science including developing ML/DL/LLM/NLP algorithms.
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field with significant focus on machine learning.
- High proficiency in Python.
- High proficiency in SQL.
- Knowledge of cloud infrastructure AWS or GCP.
- Excellent understanding of machine learning techniques, algorithms, and methodology.
- Experience with data science toolkits such as Pandas, Scikit-learn, TensorFlow, FeatureTools.
- High-level applied statistics skills (distributions, statistical testing).
- Experience in data mining and deriving insights from large datasets.
- Experience in constraint programming or network science.
- Combinatorial optimization and constraint programming experience.
- Knowledge and experience of classic programming and software engineering methodologies.
- Data-oriented personality with analytical mindset and problem-solving aptitude.
- Team player with a can-do attitude and delivery orientation.
- Fluent in English, written and verbal.
