What Jobs are available for Big Data Analytics in the United States?

Our client is a rapidly growing technology firm at the forefront of data innovation, and they are seeking an exceptional Senior Data Engineer to join their advanced analytics team. This role is fully remote, allowing you to contribute to transformative data projects from anywhere. You will be instrumental in designing, building, and maintaining scalable data pipelines and infrastructure that power our business intelligence and machine learning initiatives. This involves working with massive datasets, implementing robust data warehousing solutions, and ensuring data quality, integrity, and accessibility across the organization. The ideal candidate possesses a deep understanding of big data technologies, cloud platforms, and best practices in data engineering.

Key Responsibilities:

• Design, develop, and optimize large-scale ETL/ELT processes using distributed computing frameworks (e.g., Spark, Hadoop).
• Build and maintain robust, scalable data warehouses and data lakes on cloud platforms (e.g., AWS, Azure, GCP).
• Implement data quality checks and validation procedures to ensure data accuracy and consistency.
• Develop and manage data models to support analytical reporting and machine learning applications.
• Collaborate with data scientists and analysts to understand their data needs and provide efficient data solutions.
• Monitor data pipeline performance and troubleshoot issues to ensure reliability and efficiency.
• Automate data processes and infrastructure management tasks.
• Stay current with emerging big data technologies and best practices, recommending and implementing new solutions.
• Mentor junior data engineers and contribute to the team's technical growth.

Qualifications:

• Extensive experience as a Data Engineer, with a strong focus on big data technologies.
• Proficiency in programming languages such as Python, Scala, or Java.
• Deep experience with distributed systems like Apache Spark, Hadoop, and related ecosystem tools.
• Hands-on experience with cloud data services (e.g., AWS EMR, Redshift, S3; Azure Data Factory, Databricks; Google Cloud BigQuery, Dataproc).
• Strong SQL skills and experience with relational and NoSQL databases.
• Familiarity with data warehousing concepts and Kimball/Inmon methodologies.
• Experience with containerization technologies (e.g., Docker, Kubernetes) is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities, effective in a remote team environment.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.

Join us in building the future of data-driven decision-making from your remote location, supporting our operations based out of Raleigh, North Carolina, US .

As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking team, you play a crucial role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner.
**Job Responsibilities**
+ Oversee all aspects of data strategy, governance, data risk management, reporting and analytics.
+ Work with product owners, data owners and customers to evaluate data requirements and identifying right technology solutions and implementation.
+ Design, develop, code, test, debug and deploy applications for scalable and extensible applications.
+ Produce high quality code utilizing Test Driven Development techniques.
+ Participate in retrospectives to drive continuous improvement with in the feature team.
+ Participate in code reviews and ensuring that all solutions are aligned to pre-defined architectural specifications.
+ Implement automation: Continuous integration and continuous delivery.
+ Manage cloud development and deployment: support development and deployment of applications into AWS Public clouds.
**Required qualifications, capabilities, and skills**
+ Formal training or certification on software engineering concepts and 5+ years applied experience.
+ Advanced knowledge of architecture, design and business processes.
+ Full software development life cycle experience within an Agile framework
+ Expert level implementation skills with Abinitio, Informatica, Spark, and Python.
+ Experience with the development and decomposition of complex SQL (RDMS platforms)
+ Experience with Data Warehousing concepts (including Star Schema)
+ Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, Business Intelligence. Familiar with relevant technological solutions and industry best practices.
+ Good understanding of data engineering challenges and proven experience with data platform engineering(batch and streaming, ingestion, storage, processing, management, integration, consumption)
+ Aware of various Data & Analytics tools and techniques(e.g. Python, data mining, predictive analytics, machine learning, data modelling, etc.)
+ Experience with one or more leading cloud providers (AWS/Azure/GCP)
**Preferred qualifications, capabilities, and skills**
+ Ability to work fast and quickly ramp up on new technologies and strategies
+ Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals.
+ Appreciation of Controls and Compliance processes for applications and data
+ In depth understanding of data technologies and solutions is preferable.
+ Drive process improvements and implement process changes as necessary.
+ Knowledge of industry-wide Big Data technology trends and best practices
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

• Responsible for all aspects of data strategy, governance, data risk management, reporting and analytics.
• Work with product owners, data owners and customers to evaluate data requirements and identify right technology solutions and implementation.
• Design, develop, code, test, debug and deploy applications for scalable and extensible applications.
• Produce high quality code utilizing Test Driven Development techniques.
• Participate in retrospectives to drive continuous improvement within the feature team.
• Participating in code reviews and ensuring that all solutions are aligned to pre-defined architectural specifications.
• Implement Automation: Continuous Integration and Continuous Delivery.
• Manage Cloud Development and Deployment: Support development and deployment of applications into AWS Public clouds.

Required qualifications, capabilities, and skills.

• Formal training or certification on software engineering* concepts and 3+ years applied experience.
• Advanced knowledge of architecture, design and business processes
• Full Software Development Life Cycle experience within an Agile framework
• Expert-level implementation skills with Java, AWS, Database technologies, Python, Scala, Spark, Ab Initio or Informatica.
• Experience with the development and decomposition of complex SQL (RDMS Platforms)
• Experience with Data Warehousing concepts (including Star Schema).
• Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, Business Intelligence. Familiar with relevant technological solutions and industry best practices.
• Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption).
• Aware of various Data & Analytics tools and techniques (e.g. Python, data mining, predictive analytics, machine learning, data modelling, etc.)
• Experience with one or more leading cloud providers (AWS/Azure/GCP)

Preferred qualifications, capabilities, and skills

• Ability to work fast and quickly ramp up on new technologies and strategies.
• Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals.
• Appreciation of Controls and Compliance processes for applications and data.
• In depth understanding of data technologies and solutions is preferable.
• Drive Process improvements and implement process changes as necessary.
• Knowledge of industry-wide Big Data technology trends and best practices

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our client is seeking a highly analytical and detail-oriented Data Mining Specialist to join their fully remote data science team. This role will focus on extracting, cleaning, and analyzing large datasets to uncover trends, patterns, and actionable insights that drive business decisions. The ideal candidate will have a strong background in data mining techniques, statistical analysis, and programming languages such as Python or R. You will be responsible for developing and implementing data mining models, performing exploratory data analysis, and communicating findings to technical and non-technical stakeholders.

Key responsibilities include identifying relevant data sources, designing and executing data mining algorithms, and evaluating the performance of predictive models. You will work with diverse data types, including structured and unstructured data, and employ various data mining tools and platforms. Collaboration with data engineers, business analysts, and other data scientists in a remote environment will be crucial to ensure the successful integration of data insights into business strategies. The ability to translate complex data findings into clear, concise reports and visualizations is paramount. This position offers an exciting opportunity for a data-driven individual to contribute to innovative projects and advance their career in a dynamic, fully remote setting. You will have the chance to work with cutting-edge technologies and make a real impact on the organization's data-driven initiatives. We are looking for a curious and self-motivated individual with a passion for uncovering hidden patterns within data.

Responsibilities:

• Extract, clean, and transform large datasets from various sources.
• Develop and implement data mining models and algorithms to identify trends and patterns.
• Perform exploratory data analysis and statistical modeling.
• Evaluate the effectiveness and accuracy of predictive models.
• Create visualizations and reports to communicate data insights to stakeholders.
• Collaborate with data engineers and business analysts on data-related projects.
• Stay current with advancements in data mining techniques and technologies.
• Identify opportunities to leverage data for business improvement.
• Ensure data quality and integrity throughout the mining process.
• Contribute to the development of data strategies and best practices.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 3-5 years of experience in data mining, statistical analysis, or a related field.
• Proficiency in programming languages such as Python (with libraries like Pandas, Scikit-learn) or R.
• Experience with SQL and database management.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of statistical concepts and machine learning algorithms.
• Excellent analytical, problem-solving, and critical thinking skills.
• Effective communication and presentation skills.
• Ability to work independently and collaborate effectively in a remote team.

Our client is seeking a highly motivated and experienced Senior Data Mining Specialist to join their fully remote team. In this role, you will be at the forefront of extracting valuable insights from vast datasets within the mining sector. You will leverage your expertise in statistical analysis, machine learning, and data modeling to identify patterns, trends, and anomalies that can drive operational efficiency, improve resource discovery, and enhance safety protocols across our client's diverse mining operations. This is a remote-first position, offering flexibility and the opportunity to contribute impactful solutions without geographical constraints. You will work with large-scale, complex datasets, including geological surveys, sensor data from heavy machinery, production reports, and environmental monitoring information.

Responsibilities:

• Develop and implement advanced data mining algorithms and techniques to uncover hidden patterns and correlations within large datasets from mining operations.
• Design, build, and maintain robust data models for predictive analytics, forecasting, and anomaly detection.
• Clean, transform, and prepare diverse datasets for analysis, ensuring data integrity and accuracy.
• Collaborate with geologists, engineers, and operations managers to understand their data needs and translate them into actionable data mining strategies.
• Visualize and present complex data findings in a clear, concise, and understandable manner to both technical and non-technical stakeholders.
• Identify opportunities to leverage new data sources and technologies to enhance data mining capabilities.
• Stay abreast of the latest advancements in data mining, machine learning, and artificial intelligence relevant to the mining industry.
• Develop and automate reporting processes to track key performance indicators and operational metrics.
• Contribute to the development of data governance policies and best practices.
• Provide technical guidance and mentorship to junior data analysts and scientists.

Qualifications:

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 6 years of professional experience in data mining, statistical analysis, or machine learning.
• Proven experience working with large, complex datasets, preferably in the mining or natural resources sector.
• Strong proficiency in programming languages such as Python or R, and associated data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
• Expertise in SQL and experience with various database technologies.
• Demonstrated ability to apply statistical modeling and machine learning techniques to real-world problems.
• Excellent data visualization skills using tools like Tableau, Power BI, or Matplotlib/Seaborn.
• Strong understanding of data warehousing concepts and ETL processes.
• Exceptional analytical and problem-solving abilities.
• Excellent written and verbal communication skills, with the ability to effectively communicate technical concepts to diverse audiences.
• Must be comfortable working independently and managing projects in a remote environment.

This fully remote role offers the chance to make a significant impact on the mining industry from anywhere.

Our client, a leader in the mining industry focused on innovation and sustainability, is seeking a highly skilled Senior Data Mining and Analytics Specialist to join their fully remote team. This crucial role will focus on leveraging advanced data analytics and data mining techniques to optimize exploration, extraction, and operational efficiency. The ideal candidate possesses a deep understanding of statistical modeling, machine learning algorithms, and data visualization tools, with a proven ability to extract actionable insights from complex datasets. You will play a key part in driving data-informed decision-making across various departments, contributing to enhanced productivity, cost reduction, and improved safety standards. This remote position offers the flexibility to work from anywhere while collaborating with a global team of experts.

Key Responsibilities:

• Develop and implement advanced data mining and statistical models to analyze mining-related data.
• Identify trends, patterns, and correlations in large datasets to uncover opportunities for improvement.
• Design and build data pipelines for collecting, cleaning, and processing diverse data sources.
• Create compelling data visualizations and reports to communicate findings to technical and non-technical stakeholders.
• Collaborate with geologists, engineers, and operational teams to define analytical requirements and solutions.
• Apply machine learning techniques for predictive maintenance, resource estimation, and process optimization.
• Stay current with emerging technologies and best practices in data mining, analytics, and AI.
• Mentor junior analysts and promote a data-driven culture within the organization.
• Ensure data integrity, security, and compliance with relevant regulations.
• Contribute to the strategic development of the company's data analytics capabilities.

Qualifications:

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mining Engineering, or a related quantitative field.
• 7+ years of experience in data mining, advanced analytics, and statistical modeling.
• Proven expertise in programming languages such as Python or R, and proficiency with data manipulation libraries (e.g., Pandas, dplyr).
• Strong experience with SQL and database management.
• Familiarity with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP).
• Proficiency in data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex concepts clearly.
• Ability to work effectively and independently in a remote setting.
• Experience within the mining or natural resources industry is highly desirable.

This fully remote role offers a competitive salary, comprehensive benefits, and the opportunity to significantly impact the operational success of a forward-thinking mining company.

Job title
Payment Integrity Data Mining Consultant I

About Sagility

Sagility combines industry-leading technology and transformation-driven BPM services with decades of healthcare domain expertise to help clients draw closer to their members. The company optimizes the entire member/patient experience through service offerings for clinical, case management, member engagement, provider solutions, payment integrity, claims cost containment, and analytics. Sagility has more than 25,000 employees across 5 countries.

A Payment Integrity Data Mining Consultant I, is a professional who is market/ client facing and responsible for identifying new audit opportunities, researching new pricing methodologies, and engaging with various work teams to generate systems automation and enhancement capabilities in our state-of-the-art audit workstation. Data Mining Lead is an IC role which identifies, develops, and implements new concepts that recognize incorrect payments. These concepts are developed based on industry experience, regulatory research, and the ability to analyze medical claim data to discover incorrect payments. This role is responsible for analyzing client data and generating high quality recoverable claims, assisting in the identification, validation, and documentation of moderate to more complex recovery projects.

Job title:

Payment Integrity Data Mining Consultant I

Job Description:

Education:

High School Diploma or equivalent required. BA/BS in Business Administration or related field or equivalent preferred but not necessary

Experience:

4 -5+ year’s knowledge of direct claim processing/reimbursement, medical facility contracts, fee schedules, inpatient/outpatient/physician claims required

Mandatory Skills:

• Prior claims auditing or consulting experience desirable in either a provider or payer environment.
  
• Excellent communication skills both oral and written.
  
• Strong interpersonal skills that will support collaborative teamwork.
  
• Microsoft Office Proficient: Word and Excel; Access – highly preferred
  
• Provide recommendations for improving payment integrity processes, fraud prevention measures, and operational efficiency based on audit findings.
  
• Collaborate & Establish strong relationships with internal and external stakeholders to define, align and delivery payment accuracy initiatives.
  
• Work with audit teams and establish a process to ensure the concepts being deployed are working as expected with higher findings thus ensuring higher hit rates and findings rates on the concepts deployed.
  

Preferred Skills:

• Knowledge of payment systems, financial transactions, and claims processes end to end.
  
• Understanding of payment integrity concepts and fraud detection methodologies.
  
• Experience in auditing, payment processing, or financial fraud prevention is a plus.• Experience working within a health plan, managed care organization, provider operated healthcare environment or third party administrator.
  
• Development of end to end payment Integrity reports like Data Intake, Audit Selections, Findings, Appeals, Medical record Management, Audit Operations, Recovery Operations, Provider Correspondence and Forecasting & Invoicing.
  

Roles & Responsibilities:

• Utilizing healthcare experience to perform audit recovery procedures
  
• Identify overpaid claims
  
• Identifying and defining issues, developing criteria, reviewing, and analyzing contracts and Health Plan reimbursement policies and the various state and federal regulations
  
• Entering and documenting the incorrect payment issue into Devlin’s systems accurately and in accordance with standard procedures
  
• Updating and developing new and current audit recovery report ideas and then working with the IT team to automate the process
  
• Researching reimbursement regulations for claim payment compliance reviews and documentation to support current audit findings
  

The above statements are intended to indicate the general nature and level of work being performed by employees within this classification. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of employees assigned to this job. Employees in this job may perform other duties as assigned.

Location:

USAUnited States of America

Description
ICF International seeks an experienced Data Mining and Analytics Engineer to support the research and development of new cyber analytic capabilities that will help the US protect and defend its networks and critical information systems. The successful cleared candidate will act as a Data Mining and Analytics Engineer to support a large federal cyber security analytic program. Your work will contribute to the knowledge of how cyber-attacks work, how vulnerabilities are exploited, and the way hostile cyber actors operate.  Utilize your skills to help experiment and prototype future cyber capabilities for implementation at large-scale.
As the Data Mining and Analytics Engineer, your exceptional skillset will create useful and actionable insight for the customer through the development of analytic solutions (hardware, analytics, tools, techniques, practices, deployment, standards, performance specifications, etc.) for analytic use cases developed during the performance of this project. You will work closely with the Analytics Research team to identify platform enhancements that support the forward-looking analytics under consideration.
The ideal candidate has extensive knowledge of a wide variety of systems and networks to include high-volume/high-availability systems. You are focused on results, a self-starter, and have demonstrated success for using analytics to drive the understanding, growth, and success of the analysis. This is an opportunity to contribute to an important project from its beginning, work with the latest and emerging technologies, and all while building a great career at ICF!
This role is primarily telework-based with occasional meetings at client locations (Arlington, VA or Pensacola, FL) or ICF facilities within the Washington, DC metro area.
**What You Will Be Doing:**
+ Perform knowledge elicitation from customer subject matter experts and convert that to build analytic solutions
+ Design, engineer, and optimize sustainment of large-scale distributed computation platforms and supporting environment (ecosystems) for various stakeholders, business owners, and industry partners
+ Oversee the transition of services from third-party vendors to the analytic environment and be responsible for ad hoc and formal end-user training
+ Identify applicable data to perform analytics and create solutions to acquire, transform, and load or correlate data components to and from the analytic environment
+ Develop custom data modeling procedures to assist with data mining, modeling, and production
+ Assess the effectiveness and accuracy of new data sources and data gathering techniques
+ Develop processes and tools to monitor and analyze model performance and data accuracy
+ Interpret and communicate results to non-technical customers
**What You Must Have:**
+ Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or related field
+ Position requires a minimum of 5 years experience in data modeling and working with datasets of all sizes using a variety of data mining and data analysis methods/tools
+ Demonstrated hands-on working experience and advanced knowledge of cyber threats, tools, techniques, and processes is required
+ Active security clearance required as part of client contract requirements
+ US Citizenship required as part of client contract requirements

**Preferred Skills/Experience:**
+ Practical experience with the Databricks Intelligence Platform
+ Interpersonal skills and the ability to communicate effectively with various clients in order to explain and elaborate on technical details
+ Experience in developing analytic tools, processes, and governance for storing, modeling, capturing, and delivering data to the client's enterprise
+ Experience with computational notebook technologies such as Databricks, Zeppelin, or Jupyter
+ Experience with the application of visual analytics to computational analytic results
+ Fluency in one or more programming languages (e.g., Python, JavaScript, R, etc.)
+ Experience with database querying like SQL
+ Readiness to collaborate with engineering teams, product teams, and customers to develop prototypes and software products
+ Amazon Web Services (AWS) Certified Cloud Practitioner or higher desired
+ CompTIA Security+ or higher cybersecurity certification preferred
**Working at ICF**
ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.
We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO ( policy.
We will consider for employment qualified applicants with arrest and conviction records.
Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email   and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. 
Read more about  workplace discrimination righ t s or our benefit offerings which are included in the  Transparency in (Benefits) Coverage Act.
**Candidate AI Usage Policy**
At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process. 
However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at  . We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.  
**Pay Range** - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.
The pay range for this position based on full-time employment is:
$89,203.00 - $151,646.00
Virginia Remote Office (VA99)

Description
ICF International seeks an experienced Data Mining and Analytics Engineer to support the research and development of new cyber analytic capabilities that will help the US protect and defend its networks and critical information systems. The successful cleared candidate will act as a Data Mining and Analytics Engineer to support a large federal cyber security analytic program. Your work will contribute to the knowledge of how cyber-attacks work, how vulnerabilities are exploited, and the way hostile cyber actors operate.  Utilize your skills to help experiment and prototype future cyber capabilities for implementation at large-scale.
As the Data Mining and Analytics Engineer, your exceptional skillset will create useful and actionable insight for the customer through the development of analytic solutions (hardware, analytics, tools, techniques, practices, deployment, standards, performance specifications, etc.) for analytic use cases developed during the performance of this project. You will work closely with the Analytics Research team to identify platform enhancements that support the forward-looking analytics under consideration.
The ideal candidate has extensive knowledge of a wide variety of systems and networks to include high-volume/high-availability systems. You are focused on results, a self-starter, and have demonstrated success for using analytics to drive the understanding, growth, and success of the analysis. This is an opportunity to contribute to an important project from its beginning, work with the latest and emerging technologies, and all while building a great career at ICF!
This role is primarily telework-based with occasional meetings at client locations (Arlington, VA or Pensacola, FL) or ICF facilities within the Washington, DC metro area.
**What You Will Be Doing:**
+ Perform knowledge elicitation from customer subject matter experts and convert that to build analytic solutions
+ Design, engineer, and optimize sustainment of large-scale distributed computation platforms and supporting environment (ecosystems) for various stakeholders, business owners, and industry partners
+ Oversee the transition of services from third-party vendors to the analytic environment and be responsible for ad hoc and formal end-user training
+ Identify applicable data to perform analytics and create solutions to acquire, transform, and load or correlate data components to and from the analytic environment
+ Develop custom data modeling procedures to assist with data mining, modeling, and production
+ Assess the effectiveness and accuracy of new data sources and data gathering techniques
+ Develop processes and tools to monitor and analyze model performance and data accuracy
+ Interpret and communicate results to non-technical customers
**What You Must Have:**
+ Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or related field
+ Position requires a minimum of 5 years experience in data modeling and working with datasets of all sizes using a variety of data mining and data analysis methods/tools
+ Demonstrated hands-on working experience and advanced knowledge of cyber threats, tools, techniques, and processes is required
+ Active security clearance required as part of client contract requirements
+ US Citizenship required as part of client contract requirements

**Preferred Skills/Experience:**
+ Practical experience with the Databricks Intelligence Platform
+ Interpersonal skills and the ability to communicate effectively with various clients in order to explain and elaborate on technical details
+ Experience in developing analytic tools, processes, and governance for storing, modeling, capturing, and delivering data to the client's enterprise
+ Experience with computational notebook technologies such as Databricks, Zeppelin, or Jupyter
+ Experience with the application of visual analytics to computational analytic results
+ Fluency in one or more programming languages (e.g., Python, JavaScript, R, etc.)
+ Experience with database querying like SQL
+ Readiness to collaborate with engineering teams, product teams, and customers to develop prototypes and software products
+ Amazon Web Services (AWS) Certified Cloud Practitioner or higher desired
+ CompTIA Security+ or higher cybersecurity certification preferred
**Working at ICF**
ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.
We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO ( policy.
We will consider for employment qualified applicants with arrest and conviction records.
Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email   and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. 
Read more about  workplace discrimination righ t s or our benefit offerings which are included in the  Transparency in (Benefits) Coverage Act.
**Candidate AI Usage Policy**
At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process. 
However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at  . We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.  
**Pay Range** - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.
The pay range for this position based on full-time employment is:
$89,203.00 - $151,646.00
Virginia Remote Office (VA99)