Описание
Are you a Data Scientist with experience in Deep Learning and Machine Learning? Join us to innovate in existing and new ambitious ML projects. You will act as a practical expert within our expanding Artificial Intelligence and Machine Learning (AI/ML) team. This is an excellent chance to feel the heartbeat of one of the largest and most data-driven online retailers on the US market, and make a direct impact on the company’s success. OpticsPlanet is a leading internet retailer devoted to the passions and professions of our customers. For over twenty years, we have built a cutting-edge platform that powers ecommerce heavyweights such as OpticsPlanet.com and Dvor.com. We are experiencing a new phase of explosive growth and opportunity, and that means adding more talented and passionate individuals to our existing diverse and professional team. In addition to a challenging position, employees at all levels can find extensive opportunities for advancement and career growth. Primary Duties and Responsibilities: Build pragmatic and statistically rigorous solutions for E-commerce customer-facing web and mobile applications by leveraging statistical and machine learning methodologies. Work cross-functionally to define problem statements, collect data, and build ML models. Build and maintain data-driven optimization models, experiments, forecasting algorithms, and machine learning models. Leverage tools like Python and its existing ecosystem of libraries and frameworks for deep learning, machine learning, and data processing to drive efficient business’s problem solving. Contribute to existing projects covering different areas of expertise such as Recommender Systems, NLP, Time Series analysis, A/B testing, and others. Work in a team with other experts to efficiently deliver business value. Qualifications & Requirements: Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, A/B testing, anomaly detection, NLP, time series analysis. Experience developing production-level ML products. Data extraction, cleaning, analysis, and presentation of large datasets skills. Good knowledge of Python. Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn. Proficiency in statistical methods such as forecasting, time series, hypothesis testing, classification, clustering, or regression analysis. Data visualization skills with libraries such as Matplotlib, Plotly, or any other. Knowledge of deep learning frameworks such as TensorFlow, Keras, PyTorch, or any other. Experience applying ML models in E-commerce business’s problem solving is a big plus. Experience with databases such as BigQuery, SQL Server, MySQL is a big plus. Advanced degree (Master's, PhD) in a quantitative field (e.g., Computer Science, Mathematics, Statistics, or similar), with experience in machine learning related work or research is considered a plus. Strong written and verbal English language skills