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Data Scientist II
Qualifications, Training, and Education 3+ years of experience in Data Science and GenAI driven products Proven experience with data mining, analysis methods, and model implementation Experience with statistical programming languages, preferably Python..., for data manipulation Bachelor's Degree in Quantitative Science or related field; Master's preferred Healthcare experience is preferred
Data Scientist
development Create intuitive dashboards and reports to deliver insights to cross-functional teams Required Qualifications Bachelor's degree in a quantitative field such as statistics, mathematics, or computer science 1-4 years of related experience in a data...role Strong skills in Python for data manipulation and modeling Expertise in SQL for querying and building data pipelines Experience with data visualization tools such as Power BI, Looker, or Tableau
Business Intelligence Analyst
Required Qualifications 3-5 years of experience in business intelligence, data analysis, or a similar analytical role Preference for candidates with a Master's degree and experience in a SaaS organization Advanced SQL skills and experience with Python...for data analysis preferred Familiarity with data visualization tools such as Looker, Tableau, and Excel Experience with Salesforce reporting is a plus
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Senior Data Engineer
to ensure the data ecosystem provides actionable insights into critical business metrics Required Qualifications 4+ years of experience in enterprise data solutions with a track record of managing data pipelines Proven expertise in SQL for large data...set analysis Experience utilizing Python for data modeling and workflow automation Hands-on expertise in platforms like Snowflake, dbt, Databricks, or Redshift Experience in healthcare data is required; pharmacy experience is especially valued
Senior Data Scientist
quantitative field 5+ years of hands-on experience as a Data Scientist with a focus on advanced analytics and machine learning Experience in extracting temporal and geospatial features from large datasets Proficiency in programming languages such as Python...and big data frameworks like PySpark Track record of writing optimized, scalable, and well-documented code
Data Scientist
Key Responsibilities Utilize SQL, Python, and R for data analysis and reporting Collaborate with stakeholders to define KPIs and implement reporting solutions Apply Machine Learning/AI solutions to business problems and present findings to stakeholders
Senior Machine Learning Engineer
of machine learning solutions, ensuring efficient delivery Required Qualifications Advanced degree (Master's or PhD) in AI / Machine Learning, or 3+ years of industry experience in machine learning Strong engineering skills with expertise in R or Python..., and fluency in data manipulation and machine learning tools Proven ability to deploy ML models in production environments with tangible business impact Self-motivation and a strong sense of ownership Preferred: 5+ years of industry experience applying
Senior Data Engineer
Collaborate with analysts and analytics engineers to understand their data requirements and build appropriate backend solutions Required Qualifications 5+ years of experience in data engineering roles focused on infrastructure and backend systems Strong Python...programming skills for building data processing applications and automation Advanced proficiency in SQL and experience implementing dbt/Dataform in production environments Proven experience designing and implementing cloud-based data infrastructure
Business Analytics Analyst
experience in business analytics, preferably in a SaaS environment Advanced proficiency in Excel, including pivot tables and macros Strong knowledge of SQL for data manipulation Proficiency in Power BI or Tableau for dashboard creation Familiarity with Python...for data analysis and automation
Lead Marketing Analyst
data-driven recommendations Required Qualifications Bachelor's degree in Statistics, Mathematics, Economics, Marketing, or a related field (Master's preferred) 5+ years of experience in marketing analytics and experimentation Strong proficiency in data...analysis tools, including SQL, Python, R, and data visualization tools Expertise in web analytics platforms such as Google Analytics and Adobe Analytics Excellent understanding of marketing metrics and KPIs
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