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Data Engineer
and implement process improvements, including automating tasks and optimizing data delivery Required Qualifications 2-3 years of professional data engineering experience and a graduate degree in a related quantitative field Advanced proficiency in Python...and SQL; experience using dbt to build data pipelines Expertise with relational, NoSQL, and cloud database technologies Hands-on experience with Databricks and strong knowledge of data warehousing concepts Experience working with cross-functional
Senior Healthcare Analyst
Minimum five years related experience, with at least two years in financial modeling Experience in healthcare analytics of financial/clinical data, including data modeling and trend analysis Proficiency in advanced analytical/reporting tools such as R, Python..., SAS, SQL, Microstrategy, Tableau, or Hadoop preferred Knowledge of analytical or data mining techniques strongly preferred
Lead Data Engineer
Computer Science, Data Science, or equivalent experience 5+ years of experience in designing and building data pipelines on cloud platforms, preferably GCP and Snowflake Expertise in modern data warehousing solutions such as Snowflake Proficiency in Python...and advanced SQL for data manipulation and integration tasks Experience with ETL/ELT processes and tools like dbt and Apache Airflow
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Data Science Manager
insights Translate ambiguous business challenges into ML-driven solutions and oversee their deployment Required Qualifications 8+ years of experience in machine learning or data science, with 5+ years in a management role Expertise in modeling with Python...and data manipulation in SQL Hands-on experience in predictive modeling to address real business problems Master's Degree in Computer Science, Mathematics, Statistics, or a related field Experience in Trust & Safety, Risk domains, or Experimentation
Data Engineering Analyst
data visualization tools Evaluate new data sources and assess their value when blending with current data Required Qualifications Bachelor of Science or similar degree in a relevant field 3+ years of relevant working experience Experience with Python..., SQL, SAS, Hive, UNIX, or Tableau Experience in big data environments like AWS, PySpark, HUE, or Scala Experience with consumer and commercial credit data
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
GCP Certified Senior Data Engineer
analytics teams to identify, analyze, and visualize data trends Required Qualifications Hands-on experience with GCP tech stack including Terraform, Dataflow, Big Query, DataProc, Data Fusion, Change, Data Stream, and Cloud Functions Proficiency in Python...and SQL GCP certification is required Experience in designing and building data systems Ability to provide consultative services to departments and leadership committees
Senior Data Scientist
Key Responsibilities Develop and automate data models using Python, R, SQL, dbt, or similar tools Create and implement predictive models and machine learning algorithms for business challenges Maintain BI infrastructure in Looker for stakeholder analysis
Data Scientist
implement scalable data solutions and frameworks for analysis automation Build analytical models using commercial sales data and develop tools for intuitive data consumption Required Qualifications 5+ years of experience in data science Proficient in Python...and SQL for large-scale data analysis Experience with AI pipelines and Google Cloud Platform tools Knowledge of orchestration tools like Airflow and version control systems like Git Bachelor's degree required; Master's degree in a related field preferred
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