2 дня назад
Data Scientist (Machine Learning)
85 000 - 90 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (Machine Learning): Developing scalable data-driven solutions and supervised and unsupervised machine learning models for large U.S. clients with an accent on large-scale data processing, statistical analysis, and deep learning. Focus on building commercial models, applying NLP and recommender systems, and deploying predictions through MLOps and CI/CD pipelines.
Location: Atlanta, Georgia, United States
Salary: $85,000–$90,000 annually, plus eligibility for commission or an annual performance incentive plan.
Company
provides data-driven services and solutions to large clients across the United States.
What you will do
- Query, preprocess, clean, aggregate, and analyze terabytes and petabytes of structured and unstructured data from multiple sources.
- Build and deploy scalable supervised, unsupervised, machine learning, and deep learning models for internal and external customers.
- Apply statistical methods including sampling, hypothesis testing, attribution analysis, multivariate segmentation, and recommender systems.
- Develop custom analytical solutions by combining business requirements with data and process knowledge.
- Collaborate with data scientists and data engineering on product development from proof of concept through commercial deployment.
- Support SDLC, CI/CD, agile delivery, and MLOps pipelines for data processing, model training, and prediction testing at scale.
Requirements
- Bachelor’s degree in Computer Science, Mathematics, Statistics, Machine Learning, Analytics, or Data Science.
- 0–2 years of relevant experience; one year of data science experience is preferred.
- Strong knowledge of statistical techniques and machine learning algorithms, including regression, random forests, gradient boosting, XGBoost, PCA, NLP, and neural networks.
- Experience with SQL, Python, PyTorch, PySpark, R, Spark, Scala, and AWS.
- Ability to communicate analytical findings to audiences with different technical backgrounds and business priorities.
- Must be at least 18 years old.
Nice to have
- Master’s degree in Computer Science or Statistics.
- Experience with ensemble modeling and Bayesian optimization.
Culture & Benefits
- Healthcare coverage including medical, dental, and vision benefits.
- Paid time off, volunteer time off, and holidays.
- Employer-matched retirement plan and employee stock purchase plan.
- Short-term and long-term disability coverage.
- Infertility treatment, adoption, and surrogacy assistance.
- Tuition reimbursement and an inclusive workplace recognized as a top employer.
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