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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.

Systems Architect - Data Science & Advanced Analytics

Bethesda, MD

Full Time

Experienced

Analytica is seeking a Systems Architect – Data Science & Advanced Analytics to provide strategic and technical leadership in designing, implementing, and modernizing enterprise data and advanced analytics solutions. This role serves as the lead architect for data science initiatives, responsible for developing scalable analytics environments, machine learning solutions, and enterprise data architectures with a strong emphasis on Databricks, Apache Spark, and modern cloud-based data platforms.

The ideal candidate will work closely with data scientists, data engineers, business stakeholders, and technical leadership to develop innovative analytics solutions that transform complex data into actionable insights. This individual will provide technical vision, establish best practices, and lead the adoption of advanced analytics and machine learning capabilities across the organization.

Key Responsibilities
Data Science Leadership

Serve as the Lead Architect for enterprise Data Science and Advanced Analytics initiatives.
Develop and drive the organization's vision and strategy for Big Data, Artificial Intelligence, and Machine Learning solutions.
Lead the design and implementation of scalable data science environments that support experimentation, model development, validation, and deployment.
Provide technical leadership and mentorship to Data Scientists, Machine Learning Engineers, and Analytics teams.
Identify emerging technologies and analytical methodologies that improve organizational capabilities and mission outcomes.

Advanced Analytics & Machine Learning

Architect end-to-end machine learning and advanced analytics solutions using modern data platforms and distributed computing frameworks.
Design scalable workflows for data preparation, feature engineering, model training, evaluation, and production deployment.
Collaborate with cross-functional teams to translate business and mission objectives into advanced analytical solutions.
Guide the development of predictive models, statistical analyses, optimization models, and AI-driven decision support tools.
Establish best practices for model governance, reproducibility, documentation, and performance monitoring.

Data Architecture & Big Data Solutions

Design enterprise data architectures that enable large-scale analytics and machine learning workloads.
Lead the development of data pipelines and analytical frameworks utilizing Databricks Lakehouse architecture, Delta Lake, and Apache Spark.
Ensure data solutions are scalable, reliable, high-performing, and aligned with enterprise architecture standards.
Architect integrated data ecosystems that support structured, semi-structured, and unstructured data sources.
Lead modernization initiatives that enhance data accessibility, analytical capabilities, and operational efficiency.

Strategic Collaboration

Partner with executive leadership and business stakeholders to define data and analytics roadmaps.
Translate complex technical concepts into business-focused recommendations and strategic initiatives.
Lead architecture reviews and provide expert guidance on enterprise analytics solutions.
Foster collaboration between Data Science, Data Engineering, and business teams to deliver high-impact analytical products.

Required Qualifications
Experience

Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related technical discipline (Master's preferred).
10+ years of progressive experience designing and implementing advanced analytics, machine learning, or Big Data solutions.
Demonstrated experience serving as a technical lead or subject matter expert for enterprise data science initiatives.
Experience leading technical teams and architecting large-scale analytics platforms.
Experience architecting enterprise-scale data science and advanced analytics platforms.
Experience developing AI/ML solutions supporting mission-critical or large-scale business operations.
Knowledge of modern data governance and responsible AI principles.
Experience with experimentation frameworks, model operationalization, and analytical product development.
Familiarity with Agile product development and collaborative data science workflows.

Required Technical Skills
Data Science & Machine Learning

Machine Learning model development and lifecycle management
Statistical analysis and predictive modeling
Artificial Intelligence and Advanced Analytics methodologies
Feature engineering and model evaluation techniques
Data exploration and analytical solution design

Big Data & Data Engineering

Databricks Lakehouse Platform
Apache Spark
Delta Lake
Distributed data processing frameworks
ETL/ELT and modern data pipeline architectures
Data modeling and enterprise data architecture

Analytics & Visualization

Advanced analytics solution design
Business Intelligence and data visualization concepts
Dashboard and reporting architecture
Data storytelling and insight generation

Leadership

Technical strategy development
Enterprise architecture governance
Cross-functional team leadership
Stakeholder engagement and executive communication
Mentoring and coaching technical teams

Certifications:
Candidates should possess one or more of the following certifications:
Databricks

Databricks Certified Professional Data Scientist
Databricks Certified Professional Data Engineer
Databricks Certified Machine Learning Associate
Databricks Certified Developer for Apache Spark

Big Data & Analytics

Apache Spark or Big Data certifications
Tableau Certified Professional (Desktop or Server)
Other industry-recognized data science, analytics, or visualization certifications

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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