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Information Technology / Masters Remote Python Linux Sql Jobs
Senior Data Scientist
required 3 years of experience with large healthcare data sets for data-driven decision-making preferred 3 years of hands-on experience with ambulatory regulatory and pay-for-performance measures preferred Proficiency in data science toolkits (R, SAS, Python..., SQL) and data visualization tools (Tableau, Business Objects) required
Senior Data Scientist
relevant experience, or Master's degree with 5+ years of relevant experience Extensive experience in data science roles within cloud environments, preferably AWS Proficiency with Databricks, JupyterHub, MLflow, and AWS services Strong command of Python..., SQL, R, and Spark
Senior Data Scientist
foundation in statistical analysis and machine learning Proven experience driving ML projects end-to-end from data wrangling to deployment Strong experience with regression, classification, time series, and model evaluation techniques Proficient in Python..., SQL, and commonly used ML libraries Experience with cloud platforms and tools, especially AWS
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Data Scientist
/PhD) in statistics, computer science, engineering, or a related technical field Expert knowledge in programming languages such as Python and SQL Solid understanding of coding best practices and model documentation Ability to work independently in
Staff Machine Learning Engineer
degree with 10+ years of relevant work experience in quantitative disciplines Strong experience in AI and ML within the financial technology or service industry Proven track record in building and deploying machine learning models Proficiency in Python...and SQL Experience with AWS cloud services, particularly SageMaker for model development and deployment
Staff Machine Learning Engineer
Master's degree or Bachelor's degree with 10+ years of relevant experience in a quantitative field Strong experience in AI and ML within the financial technology sector Proven track record in building and deploying machine learning models Proficiency in Python...and SQL Experience with AWS cloud services, particularly SageMaker
Data Scientist - Risk
Required Qualifications 4+ years of experience in data science, analytics, or quantitative credit risk management Advanced degree (Master's or PhD) in a quantitative field preferred; exceptional Bachelor's candidates considered Strong proficiency in Python...and SQL, with expertise in statistical analysis and machine learning techniques Solid understanding of credit lifecycle and consumer lending principles Proven ability to manage projects and collaborate in a fast-paced, cross-functional team environment
Staff Data Scientist
science with a proven track record of delivering production ML systems Deep knowledge of statistical modeling, machine learning, and model evaluation Experience with distributed data processing, real-time inference, and ML Ops frameworks Proficiency in Python...and SQL, with experience in ML frameworks such as scikit-learn and TensorFlow Hands-on experience with cloud platforms, preferably AWS, and related tools
Senior Data Scientist
inference 2+ years of customer-facing project delivery experience 3+ years of experience in data visualization using tools like Power BI or matplotlib 5+ years of experience in data science or machine learning, focusing on predictive models using Python...and SQL
Lead Data Scientist
agent performance Required Qualifications BS, MS, or PhD in Statistics, Computer Science, Economics, or a related field 6+ years of experience building predictive models and supporting decision-making in business environments Proven expertise in Python...(and/or R) and SQL; experience with modern ML and experimentation frameworks Deep understanding of measurement, causal inference, and statistical validation Familiarity with ML Ops concepts such as feature stores and retraining pipelines
