Data Scientist

SD Solutions

Data Scientist leading design and implementation of ML/DL algorithms for AI-driven healthcare startup. Collaborating with product and engineering teams to deliver analytical interfaces.

Posted 6/24/2026full-timeRemote • 🇵🇱 PolandMid-LevelSeniorWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

machine learningdeep learninglarge language modelsnatural language processingPythonSQLapplied statisticsdata miningpredictive modelingstatistical analysis

Soft Skills

analytical mindproblem-solving aptitudeteam playercan-do attitudedelivery-oriented

Tools & Technologies

AWSGCPPandasScikit-learnTensorFlowFeatureTools

Certifications & Qualifications

Bachelor’s degree in Data ScienceMaster’s degree in Data ScienceBachelor’s degree in Computer ScienceMaster’s degree in Computer ScienceBachelor’s degree in StatisticsMaster’s degree in Statistics

Industry Keywords

data sciencequantitative analysisstatistical testinganalytical interfacesproduct innovation

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud PlatformPandasPythonScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks