Velera
Financial Services
DataScientist
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Scientist at Velera. Skills: Data Science, Machine Learning, Statistical Analysis, Python. Apply data mining techniques. Collect, process, analyze data”
What You'll Achieve.
Optimize portfolios; Generate revenue opportunities; Prevent client attrition; Optimize portfolio segments
Industry & Context.
Problem-solving
What They're Looking For.
Must Have
Bachelors degree in Operations Research, Statistics, Mathematics, Computer Science, Physics or similar field, 2+ year’s professional experience working within business intelligence, data science, or operations research with experience in development of advanced analytics, Proficient with computer languages such as Python, and SQL, Familiar with various machine learning techniques including clustering, ensemble methods, artificial neural networks, Proficient in advanced statistical techniques such as various regression modeling (linear, logistic, polynomial, etc. ), forecasting methods, with practical application experience, Familiar with Agile methodologies and practices
Nice to Have
Experience with AI Models, NLP, and/or LLM's, Experience building classification models, Knowledgeable in cloud platforms for data science, Preferably Azure and Databricks, Familiar with big data platforms such as Databricks and/or Snowflake, General knowledge of PCI standards and regulations
What You'll Do.
Apply data mining techniques
Build predictive models
Interpret results for stakeholders
Implement data-driven solutions
Ensure model accuracy
Optimize product development
Optimize client portfolios
Optimize business strategies
Build custom AI/ML models
Conduct exploratory data analysis
Develop A/B testing frameworks
Interpret data analysis results
Build predictive models
Develop model monitoring processes
Stay updated on advancements
How You'll Work.
Team & Collaboration
Collaborate with stakeholders; Collaborate with cross-functional teams; Communicate with business teams; Communicate with technical teams
Communication Scope
Excellent verbal, written, and visual communication skills; Ability to tell a story using data and visualizations
Full Job Description
# **Join the People Helping People** Velera is the nation’s premier payments credit union service organization (CUSO) and an integrated fintech solutions provider. The company serves more than 4,000 financial institutions throughout North America, operating with velocity to help our clients keep pace with the rapid momentum of change and fuel growth in the new era of financial services. Our purpose: We accelerate partners’ success through innovative financial technology solutions and inspired service. **The Opportunity** We are seeking a talented Data Scientist who can apply data mining techniques, mathematical and statistical analyses, and machine learning algorithms to large data sets. The data scientist will collect, process, and analyze large data sets to uncover trends, patterns, and insights. They will be responsible for building and evaluating predictive models and algorithms, designing experiments, and interpreting the results for stakeholders. Additionally, data scientists collaborate with cross-functional teams to implement data-driven solutions and ensure the accuracy and effectiveness of data models and analytical methods. The ideal candidate will be comfortable communicating with a wide audience, including business and technical teams. They will have a passion for problem-solving, knowledge sharing, and continuous learning. **Day in the Life:** * Collaborate with stakeholders throughout the business to understand existing processes and identify opportunities for leveraging data to drive solutions. * Perform data mining and analysis from various databases to build solutions for optimizing product development, client portfolios, and business strategies. * Design and build custom AI/ML models and algorithms applied to data sets for enhancing products and processes. * Conduct exploratory data analysis to determine the effectiveness and accuracy of data for application in models and algorithms. * Develop and perform A/B testing frameworks to assess model qua
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