Elder Research
Overview
As a
Data Scientist , you will work directly with clients, managers, and technical staff to understand business needs, develop technical plans, and deliver data-driven analytical solutions that solve client problems. You will primarily create and deploy predictive models from a wide variety of data sources and types using the latest mathematical and statistical methods and other emerging technologies.
Responsibilities
Exploring, cleaning, and wrangling data to provide value-added insights and identify business problems suitable for Data Science solutions
Experience across the spectrum of design, develop, test, and implement quantitative and qualitative Data Science solutions that are modular, maintainable, resilient to industry shifts, and platform-agnostic
Demonstrated experience using statistical and analytical software (including but not limited to Python, R, and SQL)
Analyzing events across government, financial industries, law enforcement, and other similar data environments prioritizing them by compliance and business risk and displaying the results in evidence-driven monitoring and decision support tools.
Experience in quantitative statistical approaches to anomaly detection to identify non-compliance risk, fraud, and cyber threats using data discovery, predictive analytics, trend analysis, assessment, and appropriate contemporary and emerging analytical techniques.
Ability to conduct rigorous quantitative data analysis on very large data sets to develop insights and actionable recommendations through prior experience in developing strategies, performing assessments, and gap analyses
Contribute to meetings and discussions with clients and co-workers to refine understanding of the business problem at hand
Trying different predictive modeling approaches to identify the best fit for a given set of business understanding, available data, and project timeline
Writing modular, understandable, reusable code within an iterative development process that includes team-based code review, client discussions, and end-user training
Applying statistical tests for robustness, sensitivity, and significance to test and validate supervised and unsupervised models
Preparing presentations, writing reports (technical and non-technical), and communicating technical results to clients with varying levels of analytic sophistication
Ability to work autonomously in a collaborative, dynamic, cross-functional environment
Demonstrated business savvy with solid interpersonal and communication skills (written and verbal)
Required Qualifications
Required Clearance: Must have a IRS Public Trust w/a Full Background Investigation
Required Education: Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.,)
Preferred Skills And Qualifications
Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.,)
1+ years of experience in data science, data analytics, or a related technical field
Prior computer programming experience, preferably in a language such as Python or R
Experience with data exploration, data munging, data wrangling, and model development in R or Python
Experience using version control (e.g. git, svn, Mercurial) and collaborative tools; basic understanding of relational database structure and SQL
Humble and willing to learn, teach, and share ideas
Experience engaging and interacting with clients, stakeholders and subject matter experts (SMEs) to understand, gather and document requirements
Comfortable learning new things and working outside of your comfort zone
Technical mindset – you are not afraid of math!
Must currently possess a Public Trust clearance
Travel to and work on-site at clients both local and non-local. Number of days at client site vary depending on project requirements.
Desired Skills
Advanced degree (MS or PhD) in a relevant field (e.g., statistics, computer science, business, mathematics, analytics, data science, engineering, physics, social sciences, management information systems, or decision science, etc.,)
Programming techniques (e.g. pair programming, code reviews)
Experience with containerization and environment management (venv or conda)
Experience with Natural Language Processing (NLP) and advanced text mining techniques
Experience with graph analytics and network analysis
Experience with one or more technologies such as R Shiny, Databricks, AWS, Azure
Experience applying robust, established and emerging quantitative & statistical techniques, knowledgeable on the underlying theoretical and architectural frameworks in the fields of applied analytics, and statistical analysis to include: sampling considerations & survey design like construct validity, measurement bias, as well as internal & external validity, statistical weighting techniques, approaches to outlier and missing data, and exploratory data analysis, cross-sectional analysis, and longitudinal forecasting
Experience implementing data science processes in a remote, austere environment to include using bash
Experience with business intelligence and data visualization platforms (Power BI, Tableau, etc.,)
Understanding of the data analytics lifecycle (e.g. CRISP-DM)
About Elder Research, Inc Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.
Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.
Elder Research believes in continuous learning and community - each week the entire company attends a “Tech Talk” and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.
Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Elder Research is a Government contractor and many of our positions require US Citizenship.
Job Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Strategy/Planning and Information Technology
Industries: Data Infrastructure and Analytics
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Data Scientist , you will work directly with clients, managers, and technical staff to understand business needs, develop technical plans, and deliver data-driven analytical solutions that solve client problems. You will primarily create and deploy predictive models from a wide variety of data sources and types using the latest mathematical and statistical methods and other emerging technologies.
Responsibilities
Exploring, cleaning, and wrangling data to provide value-added insights and identify business problems suitable for Data Science solutions
Experience across the spectrum of design, develop, test, and implement quantitative and qualitative Data Science solutions that are modular, maintainable, resilient to industry shifts, and platform-agnostic
Demonstrated experience using statistical and analytical software (including but not limited to Python, R, and SQL)
Analyzing events across government, financial industries, law enforcement, and other similar data environments prioritizing them by compliance and business risk and displaying the results in evidence-driven monitoring and decision support tools.
Experience in quantitative statistical approaches to anomaly detection to identify non-compliance risk, fraud, and cyber threats using data discovery, predictive analytics, trend analysis, assessment, and appropriate contemporary and emerging analytical techniques.
Ability to conduct rigorous quantitative data analysis on very large data sets to develop insights and actionable recommendations through prior experience in developing strategies, performing assessments, and gap analyses
Contribute to meetings and discussions with clients and co-workers to refine understanding of the business problem at hand
Trying different predictive modeling approaches to identify the best fit for a given set of business understanding, available data, and project timeline
Writing modular, understandable, reusable code within an iterative development process that includes team-based code review, client discussions, and end-user training
Applying statistical tests for robustness, sensitivity, and significance to test and validate supervised and unsupervised models
Preparing presentations, writing reports (technical and non-technical), and communicating technical results to clients with varying levels of analytic sophistication
Ability to work autonomously in a collaborative, dynamic, cross-functional environment
Demonstrated business savvy with solid interpersonal and communication skills (written and verbal)
Required Qualifications
Required Clearance: Must have a IRS Public Trust w/a Full Background Investigation
Required Education: Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.,)
Preferred Skills And Qualifications
Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.,)
1+ years of experience in data science, data analytics, or a related technical field
Prior computer programming experience, preferably in a language such as Python or R
Experience with data exploration, data munging, data wrangling, and model development in R or Python
Experience using version control (e.g. git, svn, Mercurial) and collaborative tools; basic understanding of relational database structure and SQL
Humble and willing to learn, teach, and share ideas
Experience engaging and interacting with clients, stakeholders and subject matter experts (SMEs) to understand, gather and document requirements
Comfortable learning new things and working outside of your comfort zone
Technical mindset – you are not afraid of math!
Must currently possess a Public Trust clearance
Travel to and work on-site at clients both local and non-local. Number of days at client site vary depending on project requirements.
Desired Skills
Advanced degree (MS or PhD) in a relevant field (e.g., statistics, computer science, business, mathematics, analytics, data science, engineering, physics, social sciences, management information systems, or decision science, etc.,)
Programming techniques (e.g. pair programming, code reviews)
Experience with containerization and environment management (venv or conda)
Experience with Natural Language Processing (NLP) and advanced text mining techniques
Experience with graph analytics and network analysis
Experience with one or more technologies such as R Shiny, Databricks, AWS, Azure
Experience applying robust, established and emerging quantitative & statistical techniques, knowledgeable on the underlying theoretical and architectural frameworks in the fields of applied analytics, and statistical analysis to include: sampling considerations & survey design like construct validity, measurement bias, as well as internal & external validity, statistical weighting techniques, approaches to outlier and missing data, and exploratory data analysis, cross-sectional analysis, and longitudinal forecasting
Experience implementing data science processes in a remote, austere environment to include using bash
Experience with business intelligence and data visualization platforms (Power BI, Tableau, etc.,)
Understanding of the data analytics lifecycle (e.g. CRISP-DM)
About Elder Research, Inc Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.
Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.
Elder Research believes in continuous learning and community - each week the entire company attends a “Tech Talk” and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.
Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Elder Research is a Government contractor and many of our positions require US Citizenship.
Job Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Strategy/Planning and Information Technology
Industries: Data Infrastructure and Analytics
#J-18808-Ljbffr