Data Scientist

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SD Solutions

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤝 B2B

🎯 Recruiter

🏢 Enterprise

B2B • Recruitment • Enterprise

SD Solutions is a company that specializes in providing a variety of staffing and outsourcing solutions aimed at driving IT-driven businesses towards growth. The company offers services such as Staff Augmentation, Recruitment Process Outsourcing (RPO), Business Process Outsourcing (BPO), and Employer of Record (EoR), which allow businesses to hire globally without the need to establish a legal entity abroad. SD Solutions focuses on empowering businesses with comprehensive services tailored for global expansion and offers strategic guidance and consulting. They provide dedicated engineering, data science, and DevOps teams to ensure seamless technological evolution. With significant experience and a strong track record, SD Solutions helps businesses scale and transform dynamically.

📋 Description

• 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.

🏖️ Benefits

• Contact us to get more details about the benefits we offer.