Data Scientist (Hybrid)
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Job Location:
San Diego, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Data Scientist-16094
Hybrid.
Description:
The requisition is open to all campus locations - HQ (Vienna VA) WOC (Winchester VA) GPO (Pensacola FL) SDO (San Diego CA) for a Hybrid role only - no remote work or Microsites.
Description
Our Digital data science department is dedicated to building predictive solutions for our mobile applications 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 mid-level experienced (3-7 yr) 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/well-being.
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 predictive models and algorithms with moderate to high 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 k-means 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 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
- 3-7 years of experience (mid-level) in data science statistics and data analytics
- Ability to work with moderate to minimal supervision
- Strong programming abilities in SQL Python PySpark R or similar languages in data exploration data preparation modeling prediction simulation and statistical analysis
- Experience with machine learning techniques and tools to build a variety of models including logistic regression XGBoost neural networks NLP and clustering
- Ability to use data and cloud environments such as Azure Databricks AWS or Hadoop
- Familiarity with project management tools such as Azure Dev Ops (ADO) or JIRA is a plus
- Technical writing skills
- Strong communication and data storytelling presentation skills of technical material
- Ability to collaborate and build relationships
- Required: Bachelors degree in data science statistics economics mathematics computer science engineering or degrees in similar quantitative fields
- Desired: Masters degree in data science statistics mathematics or degrees in similar quantitative fields
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Required Skills: A deep understanding for agile and DevSecOps methodologies.Creating and maintaining documentation for implementations.Experience in developing, testing, and maintaining containerized applications.Working knowledge of source version control, build/release tools and met ... View more
