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Follow this link to obtain salary ranges by positions: Pay Transparency - Analytica

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Hiring Process at Analytica

At Analytica, we follow a structured hiring process to ensure we select the best candidates for our team. Here is an overview of our hiring process:

Recruiter's Call: The process begins with a recruiter reaching out to potential candidates. During this initial call, the recruiter will provide an overview of the position and gather preliminary information about the candidate's background and experience.

Criteria Assessment: Criteria Assessment is a quick, online test that helps the hiring team understand the candidate's skills, problem-solving ability, and work style to ensure the best fit for the role. It takes about 20 minutes and can be completed anytime on any device, phone or computer—no special preparation needed.

Rounds of Interviews: Based on the initial call and the hiring manager's approval, the recruiter will establish direct interviews with the team. There may be multiple rounds of interviews that is designed to assess the candidate's qualifications, skills, and fit for the role.

Final Decision: After the interviews, the hiring team will review the candidate's performance and make a final decision. If the team decides to present an offer, the recruiter will directly call the candidate to discuss details such as salary, benefits, start date, etc. Others will also be notified through email or a call.

Use of AI in the Hiring Process

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

Application Review: AI tools may help identify skills and experiences relevant to the role.
Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

Impersonation Scams

We would like to bring to your attention the increasing number of impersonation scams targeting organizations worldwide. These scams involve individuals pretending to be someone from the hiring team such as HR manager or recruiters, to deceive you into providing sensitive information or making unauthorized transactions.

To protect yourself, please follow these guidelines:

Verify the Sender: Always double-check the sender's email address and contact details. If something seems off, do not hesitate to reach out to the person directly using a known and trusted communication method.

Be Cautious with Requests for Sensitive Information: Be wary of any unexpected requests for sensitive information, such as passwords, financial details, or personal data. Legitimate organizations will never ask for such information via email.

Look for Red Flags: Pay attention to any unusual language, spelling mistakes, or urgent requests that pressure you to act quickly. These are common signs of a scam.

Report Suspicious Activity: If you receive a suspicious email or message, report it immediately to our IT department. Do not respond or click on any links or attachments.

Stay Informed: Keep yourself updated on the latest scam tactics and best practices for cybersecurity. Regularly attend training sessions and read our security bulletins.

When receiving email communication from Analytica, please ensure that the email domain is applytojob.com or analytica.net to verify its authenticity.

By staying vigilant and following these guidelines, we can help protect ourselves from impersonation scams.

Lead Data Architect

Bethesda, MD

Full Time

Manager/Supervisor

Analytica is looking for a Lead Data Architect to oversee, manage and provide hands-on implementation of enterprise data architecture, DataOps and MLOps for key client program centered around network and entity services. This leader designs and sustains data architectures and data pipelines that support identity and biometrics applications, integrates law-enforcement-sensitive data for screening and vetting, and leads for AI/ML practice spanning model development, deployment, and continuous validation on AWS and Databricks.

Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.  

Key Responsibilities: 

Lead and architect enterprise-wide initiatives including system integration, data migration, transformation, data warehouse build, data mart build, data lakes implementation and support, and O&M for a large enterprise.

Develop and evaluate production AI/ML solutions in AWS and Databricks.

Apply advanced proficiency in statistical, programming, and engineering methods for data analysis (e.g., SQL, Python, statistical modeling).

Lead Relational and Dimensional Data Modeling across identity and biometrics data domains.

Establish and enforce a data governance framework to improve accuracy using integrated internal and external disparate data sources.

Conduct cost-benefit analyses for competing technical and architectural options.

Integrate AI/ML, data analytics, and entity resolution into DevSecOps workflows and system architectures.

Maintain AI/ML models through user stories and the DevSecOps CI/CD pipeline, including optimization and evaluation of alternates.

Prefer open-source models; provide comparable analysis and justification when proprietary models are proposed.

Provide a continuous model validation framework to the extent possible.

Support data analytics on program and system activities, including assessment of performance and manual processes with automation/optimization recommendations.

Mentor Data Scientists, Data Engineers, and Database Management staff; collaborate with Architect Leads and ISSO personnel on secure handling of law-enforcement-sensitive data.

Required Experience & Qualifications:

US Citizen with the ability to secure a US public trust clearance

Bachelor’s degree in computer science, Information Technology, Data Science, Engineering, Mathematics, or a related technical field

10+ years of IT experience, focusing on enterprise data architecture, AI/ML, data engineering, and data management.

5+ years of experience implementing AWS and/or Databricks data solutions

Significant experience with Python and Python

Proven Experience leading and architecting enterprise-wide initiatives spanning system integration, data migration, transformation, data warehouse/mart build, data lakes implementation and support, and O&M for a large enterprise.

Proven expertise in Relational and Dimensional Data Modeling and Lakehouse architectures

Advanced proficiency in statistical, programming, and/or engineering in building DataOPs and MLOPs pipelines for data analysis

Preferred Experience & Qualifications:

Databricks Professional or AWS Solution Architect or Data Engineer strongly preferred

Advanced degree (Master's or PhD) in Data Science, Statistics, Computer Science, Mathematics, or related quantitative discipline.

Experience with PyTorch, SciKit-Learn, NumPy, Spark/Scala, Kafka, and PostgreSQL.

Experience with Tableau and large-scale data visualization for executive and operational reporting.

Prior USCIS, DHS, or federal law enforcement / national security data program experience.

About Analytica: Analytica is a leading data and AI engineering firm serving public sector and highly regulated industries. The company has been recognized by Inc. Magazine as one of the 250 fastest-growing companies in the U.S. and as a Great Place to Work for 3 sequential years. Analytica specializes in helping organizations design and implement improvements across their business functions to leverage data, analytics and AI to be more effective. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2015 certified provider.

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

Application Review: AI tools may help identify skills and experiences relevant to the role.
Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

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