Data Scientist with strong Algorithm experience

This role does not support visa-dependent candidates, either now or in the foreseeable future Application Deadline: 7/30/2026 Responsibilities As a Data Engineer you’ll be responsible for acquiring, curating, and publishing data for analytical or operational uses. Data should be in a ready‑to‑use form that creates a single version of the truth across all data consumers, including business users, data scientists, and Technology. Ready‑to‑use data can be for both real‑time and batch data processes and may include unstructured data. Successful data engineers have the skills typically required for the full lifecycle software engineering development from translating requirements into design, development, testing, deployment, and production maintenance tasks. You’ll have the opportunity to work with various technologies from big data, relational and SQL databases, unstructured data technology, and programming languages. Qualifications Programming & Tools Strong proficiency in Python (NumPy, Pandas, Scikit‑learn, TensorFlow/PyTorch) Working knowledge of statistical analysis and modeling Experience with Jupyter Notebooks, RStudio, and data visualization tools Familiarity with SQL and data querying Machine Learning & AI Solid understanding of machine learning algorithms (supervised & unsupervised) Hands‑on experience with regression (linear, logistic) Hands‑on experience with classification (decision trees, random forests, SVM) Hands‑on experience with clustering (K‑means, hierarchical) Experience with deep learning frameworks (TensorFlow, PyTorch) is a plus Predictive Modeling Proven experience in predictive modeling and forecasting Ability to build, validate, and deploy predictive models Strong understanding of feature engineering and model evaluation techniques (ROC, precision/recall, cross‑validation) Experience working with real‑world datasets to derive actionable insights Statistics & Data Analysis Strong foundation in statistics and probability Hypothesis testing, regression analysis, and statistical modeling Data cleaning, transformation, and exploratory data analysis (EDA) Data & Deployment (Preferred) Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with Docker/containers is a plus Exposure to MLOps practices (CI/CD for ML models) Soft Skills Strong analytical and problem‑solving skills Ability to translate business problems into data solutions Effective communication and storytelling with data Collaborative mindset with cross‑functional teams Nice-to-Have Experience with big data tools (Spark, Hadoop) Exposure to NLP, computer vision, or time‑series forecasting Knowledge of model deployment APIs (Flask, FastAPI) Benefits Medical, Dental & Vision Insurance 401(k) with Company Match Employee Stock Purchase Program Paid Time Off & Holidays Paid Parental Leave Short‑Term & Long‑Term Disability Coverage Employee Assistance Program (EAP) Mental Health & Wellbeing Programs Health Advocacy & Virtual Care Services Salary The annual salary for this position is between $110,000 - $125,000 depending on experience and other qualifications of the successful candidate. #J-18808-Ljbffr