Overview
On Site
Full Time
Skills
GPO
Mobile Applications
Business Operations
User Experience
Financial Services
Banking
Financial Management
k-means clustering
Forecasting
Algorithms
Trend Analysis
Data Analysis
Supervision
SQL
Python
PySpark
R
Modeling
Machine Learning (ML)
Logistic Regression
XGBoost
Natural Language Processing
Clustering
Cloud Computing
Databricks
Amazon Web Services
Apache Hadoop
Project Management
Microsoft Azure
ADO
JIRA
Technical Writing
Communication
Presentations
Economics
Computer Science
Data Science
Statistics
Mathematics
Analytics
SAP BASIS
Law
IT Service Management
Innovation
Collaboration
Recruiting
Insurance
Finance
Professional Development
Training
Leadership
CompTIA
Customer Service
Career Counseling
Oracle Application Express
Apex
Job Details
Job#: 2091268
Job Description:
Site: Headquarters (HDQ)
Business Unit: Data Science (D0004672-Data Science)
Description: The HL is in HQ, but 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: Bachelor's degree in data science, statistics, economics, mathematics, computer science, engineering, or degrees in similar quantitative fields
Desired: Master's degree in data science, statistics, mathematics, or degrees in similar quantitative fields
Enable Skills-Based Hiring
No
Hybrid Status
Hybrid
Alternate Job Title
Data Scientist
Digital Contractor Titles
Analytics - Data
Contractor Experience Level
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.
Job Description:
Site: Headquarters (HDQ)
Business Unit: Data Science (D0004672-Data Science)
Description: The HL is in HQ, but 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: Bachelor's degree in data science, statistics, economics, mathematics, computer science, engineering, or degrees in similar quantitative fields
Desired: Master's degree in data science, statistics, mathematics, or degrees in similar quantitative fields
Enable Skills-Based Hiring
No
Hybrid Status
Hybrid
Alternate Job Title
Data Scientist
Digital Contractor Titles
Analytics - Data
Contractor Experience Level
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.