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Principal Data Scientist
implement models to predict and prevent customer churn Establish a center of excellence for data science practices and standards Required Qualifications 7+ years of hands-on experience in data science and machine learning Expert-level proficiency in Python..., data manipulation libraries, and SQL Deep experience with various ML techniques and end-to-end ML lifecycle Experience with version control systems like Git Advanced degree in a quantitative field is preferred
Senior AI Software Engineer
, and compliant with industry standards Required Qualifications: Bachelor's or Master's degree in Computer Science or Engineering 7+ years of experience in AI engineering with a focus on scalable AI solutions in financial systems Proficiency in Python...and experience with data science libraries Experience with cloud infrastructure and various data storage solutions Strong understanding of MLOps practices and tools
Lead Data Engineer
warehouse Qualifications Bachelor's degree in Computer Science, Information Systems, Laboratory Science, or a related field; Master's degree preferred 3+ years of experience in data engineering or data operations roles Strong proficiency in SQL and Python...Demonstrated experience with data warehousing and transforming raw data into useful models Experience working with scientific data, particularly from next-generation sequencing (NGS), is strongly preferred
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Senior Product Analyst
field 5+ years of experience in product analytics, web analytics, or data analytics 3+ years of experience in Google Tag Manager and Event Tracking strategy & implementation Strong proficiency in SQL and statistical programming languages such as Python...or R Experience with data visualization tools such as Tableau or PowerBI
Revenue Cycle Management Architect
reporting solutions to support RCM operations Develop predictive models to forecast revenue and key RCM KPIs Required Qualifications 5+ years of experience in data science or analytics, particularly in healthcare revenue cycle Proficiency in SQL, Python...or R, and data visualization tools (Power BI, Tableau) Experience with cloud data platforms such as Snowflake, Azure, or AWS Bachelor's or Master's Degree in Data Science, Statistics, Computer Science, Health Informatics, or a related field Strong
Engineering Manager
master's degree in Computer Science or a related field 10+ years of experience, including 3+ years in management and 5+ years as a Software Engineer Experience managing the engineering lifecycle for a SaaS platform with high uptime Proficiency in Python...and experience with data modeling, AI, and machine learning Familiarity with CI/CD pipelines and automation frameworks for data processing
Imaging Data Engineer
., Python, Java, SQL) for data pipeline development
Principal Data Scientist
with stakeholders to propose data science projects and communicate data-driven insights effectively Required Qualifications Master's degree in Data Science or a related field 5 years of experience as a Data Scientist Proficiency in SQL, R, and Python...programming languages Experience with data manipulation and analysis libraries like Pandas, NumPy, and Scikit-learn Demonstrated proficiency in visualization tools such as Streamlit, Tableau, and R-Shiny
Senior Data Analyst
related quantitative field 5+ years of experience in data analysis, focusing on data mapping and transformation At least 3 years of experience with Life Sciences and Healthcare data Strong proficiency in SQL and at least one scripting language for data...analysis (e.g., Python) Experience with ETL/ELT concepts and data visualization tools (e.g., Tableau, Power BI)
Principal Market Analyst
revenue forecasts Required Qualifications Bachelor's degree in engineering, economics, or related field; advanced degree preferred 7+ years of experience in optimization, energy markets, quantitative analysis, and/or BESS analysis Proficiency in Python...and SQL, with strong data analysis techniques Strong knowledge of energy markets and locational marginal price formation Demonstrated ability to manage multiple projects in a fast-paced environment
