Digital Associate Data Scientist-15369-Hybrid
Digital Associate Data Scientist-15369-Hybrid
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1 Vacancy
Job Description
Greetings!
Our client is the worlds largest credit union with over 10 million members over $149 billion in assets and over 23000 employees.
Our client Navy Federal Credit Union is seeking an Digital (Associate Data Scientist)15369Hybrid in Vienna VA OR San Diego CA. You seem to have a rocksolid profile and your overall background seems to be a great match for the position.
Please review the below information for clarity on the position description.
Description:
Our Digital data science department is dedicated to building predictive solutions for our mobile application and online business operations. We develop predictive tools to assist business and app developers in enhancing user experience and optimizing operational performance.
We are seeking a motivated and talented entrylevel data scientist to join our growing department. This role involves collaborating with senior team members leaders and business units to create custom solutions and data science models that provide insights into customer digital behavior forecast mobile app and website usage trends assess customer app store sentiment and analyze data for actionable insights. Knowledge or insights into financial services and banking products will also be helpful in designing solutions and predictive tools to help customers improve financial management and financial health/wellbeing.
Responsibilities
- Collaborate with senior data scientists and leaders to design and implement predictive models and custom solutions that enhance our digital offerings.
- Partner with business units to gather requirements understand customer needs and develop data science solutions that address specific business challenges.
- Write efficient code in Python and SQL to manipulate and analyze data.
- Design develop and evaluate basic/routine predictive models and algorithms with some complexity
- Utilize traditional and machine learning techniques and tools to build a variety of models including but not limited to logistic regression random forest XGBoost neural networks NLP kmeans clustering ARIMA and prophet forecasting.
- Analyze and interpret results with some complexity
- Exercise limited judgment and discretion within defined procedures and practices
- Develop and code basic modeling programs algorithms and automated processes
- Use modeling and trend analysis to analyze data
- Collaborate with team members and participate in team projects and initiatives
- Utilize effective written and verbal communication to document and present findings
Qualifications
- 02 years of experience in data science statistics and data analytics
- Strong programming abilities in SQL Python R or similar languages in data exploration data preparation modeling prediction simulation and statistical analysis
- Ability to use data and cloud environments such as Azure Databricks AWS or Hadoop
- Experience with machine learning techniques and tools to build a variety of models including logistic regression XGBoost neural networks NLP and clustering
- Technical writing skills
- Strong communication and data storytelling presentation skills of technical material
- Ability to collaborate and build relationships
- Desired: Bachelors degree in data science statistics mathematics computers science engineering or degrees in similar quantitative fields
I would appreciate the opportunity to connect and discuss this further. Please feel free to call or email me at your convenience or let me know a suitable time for us to connect.
Required Experience:
IC
Employment Type
Unclear
