Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and enhance machine learning models with a focus on time series forecasting and predictive analytics.

• Conduct feature engineering and optimize data models to boost accuracy and efficiency.

• Assess model performance using metrics such as MAPE, RMSE, and R², and adjust strategies as required.

• Construct and implement data pipelines utilizing PySpark, SQL, and cloud-based technologies.

• Engage in large-scale data integration initiatives employing Boomi, SnapLogic, SSIS, or Palantir.

• Leverage Palantir Foundry, Google Cloud, AutoAI, and Google Colab for data modeling, processing, and automation tasks.

• Design and uphold data warehouse solutions for enhanced analytics and business intelligence.

• Execute complex data transformations through SQL queries and data objects for AI/ML projects.

• Collaborate with business stakeholders to ensure models meet user expectations and align with business goals.

• Deploy, oversee, and continually refine machine learning models in a production environment.

• Articulate technical findings and insights to both technical and non-technical audiences.

⛳️ Requirements

• Proficient in Python, PySpark, and SQL.

• Expertise in time series forecasting models, such as ARIMA, Prophet, LSTMs, and machine learning-based approaches.

• Strong background in data model optimization, feature engineering, and performance assessment.

• In-depth knowledge of machine learning model evaluation metrics and best practices for enhancing model accuracy.

• Practical experience in data engineering, data pipelines, ETL processes, and data transformation projects.

• Familiarity with Boomi, SnapLogic, SSIS, or Palantir for data integration tasks.

• Proficient in Google Cloud, including BigQuery, Vertex AI, and Cloud Functions.

• Experience with Palantir Foundry for data processing, analysis, and visualization efforts.

• Capability to optimize and query large datasets using data lakes and relational databases.

• Knowledge of AutoAI for automated model selection and hyperparameter tuning.

• Experience with Google Colab for collaborative machine learning development.

• Excellent problem-solving and communication abilities for explaining complex concepts to business stakeholders.

• Preferred: experience with MLOps, business intelligence and reporting tools, supply chain/logistics/operational forecasting, batch and real-time data processing architectures, SQL and data transformation optimization, and programming languages such as C#, Java, or JavaScript.

🏝️ Benefits

• Comprehensive healthcare coverage, including medical, dental, and vision plans, available from day one for full-time employees.

• Educational assistance for eligible employees participating in an approved, accredited academic program.

• Employer-funded life insurance and disability coverage.

• Optional supplemental life, hospitalization, critical illness, and other insurance options.

• Adoption assistance programs.

• Fertility benefits included in the medical plan.

• Parental leave provisions.

• Health Savings Account (HSA) options.

• 401(k) retirement plan.

• Sick leave and short-term leave provisions.

• Holidays, vacation days, and personal days off.

• Additional types of leave, including parental leave.

• Teammate Assistance Program (TAP) available.

• Access to Calm Health resources.

• Cancer Resource Services support.

• Discount programs at no cost to employees.