Senior Data Scientist

The Senior Data Scientist must be able to meet the key criteria below:

Location: 100% remote; Preference to be able to be onsite in Suitland MD

Years Experience: 10 years

Education: Bachelors in IT related field

Security Clearance: IBR is a federal contractor. Applicants must be able to obtain and maintain a Public Trust security clearance.

• NOTE: United States Citizenship work authorization is required as part of the eligibility criteria to be able to obtain this type of security clearance.

Employment Type: Exempt

Key Skills:

• Experience applying advanced statistical methods and machine learning algorithms
• Strong understanding of data privacy ethical data practices and regulatory compliance.
• Expertise in Python and R with advanced knowledge of relevant libraries (e.g. Pandas Scikit-learn TensorFlow Keras etc.).

Overview

We are seeking a skilled and experienced Data Scientist / Artificial Intelligence / Machine Learning Engineer to join our this role you will leverage your expertise in data analysis statistical modeling machine learning algorithms and AI technologies to analyze complex datasets and develop actionable insights. You will work closely with both technical and non-technical teams to drive business decisions and innovation.

You will research build and design AI systems that automate predictive models and design and create algorithms capable of learning and making predictions that define machine learning. You will work with the data science team to design algorithms to meet the customers operational requirements. This position will work closely with the operations team performing Deployment Systems Integration Testing and Operations and Maintenance activities.

Responsibilities

1. Statistical and Machine Learning Analysis:
   • Apply advanced statistical methods and machine learning algorithms (e.g. regression classification clustering time series) to solve complex business problems.
   • Design build and deploy machine learning models including supervised unsupervised and reinforcement learning techniques.
   • Work with large datasets to perform data analysis feature engineering and model evaluation.
2. AI Technologies:
   • Develop solutions using AI technologies such as deep learning natural language processing (NLP) and computer vision.
   • Explore and experiment with new machine learning techniques to push the boundaries of data science applications.
3. Data Pipeline Development:
   • Design and implement robust data pipelines for the collection cleaning transformation and processing of large-scale datasets.
   • Ensure efficient data handling storage and access across multiple systems and databases.
4. Ethical Data Management:
   • Maintain a deep understanding of data privacy ethics and compliance frameworks ensuring all data handling and modeling practices align with relevant regulations.
   • Develop and enforce best practices for handling sensitive and confidential data within the company.
5. Insight Generation & Presentation:
   • Convert complex data and analytical results into clear concise insights for technical and non-technical stakeholders.
   • Collaborate with product engineering and business teams to deliver actionable data insights that influence strategic decisions.
   • Present findings to executives and business leaders in an easy-to-understand format that facilitates decision-making and drives action.
6. Programming & Tool Expertise:
   • Use Python R and other programming languages to manipulate data and build scalable efficient models and analytics pipelines.
   • Leverage industry-standard libraries (e.g. TensorFlow PyTorch Scikit-learn) for machine learning and data manipulation.
   • Write reusable modular and maintainable code for long-term use and future model development.
7. Collaboration & Mentorship:
   • Work cross-functionally with data engineers product managers and business leaders to ensure the successful application of data science techniques.
   • Mentor and guide junior data scientists or team members on best practices code quality and analytical techniques.
8. Model Deployment & Monitoring:
   • Deploy model results for operational decisions into near real time production environments that meet performance scalability reliability and operational requirements.
   • Continuously monitor model performance and refine models to improve accuracy and efficiency over time.

Qualifications

• 10 years of IT experience focusing on enterprise data architecture and management
• Bachelors degree in IT-related field (Computer Science Mathematics Statistics Data Science)
• Must be able to obtain a Public Trust security clearance
• Proven experience in developing deploying and maintaining machine learning models.
• Strong understanding of data privacy ethical data practices and regulatory compliance.
• Expertise in Python and R with advanced knowledge of relevant libraries (e.g. Pandas Scikit-learn TensorFlow Keras etc.).
• Excellent communication skills with the ability to present complex technical results to non-technical stakeholders.
• Experience in AI technologies like NLP and computer vision is a plus.
• Ability to work independently and in a team managing multiple tasks simultaneously.
• Ability to continuously learn and stay up to date on new trends and technologies in AI and ML.

Physical Demands and Work Environment

While this position primarily involves sedentary work in an office environment and/or home-office environment there are some physical demands associated with the role including:

• Extended periods of sitting and working at a computer workstation.
• Occasional lifting and carrying of equipment or materials weighing up to 20 pounds.
• Occasional travel to client sites or meetings may be required.
• Work may need to be performed in a fast-paced environment requiring quick thinking and rapid judgements.
• Additionally flexible work arrangements may be available based on business needs.
• Employee will be exposed to a wide variety of clients in differing functions personalities and abilities.

About IBR
Imagine Believe Realize LLC (IBR) is an emerging small business focused on delivering software and systems engineering solutions to government and commercial clients. Our talent acquisition strategy is tailored to career seeking candidates who embrace continuous learning and desire to grow as a professional in the software/systems engineering industry. We strive to enhance our team members ability to thrive in the workplace by creating a proper work/life balance and first-class benefits package that includes:

• Nationwide medical dental and vision insurance
• 3 weeks of Paid Time Off and 11 Paid Federal Holidays
• 401k matching
• Life Insurance Short-Term Disability and Long-Term Disability at no cost to our employees
• Flexible spending accounts and Dependent Care spending accounts
• Wellness incentives
• Reimbursement for professional development and certifications
• Training assistance opportunities

Upon hire and in compliance with federal law all persons hired are required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification and background check. IBR is a Federal Contractor.

Imagine Believe Realize LLC is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate based upon race age religion color national origin gender (including pregnancy childbirth or related medical conditions) sexual orientation gender identity gender expression status as a protected veteran status as an individual with a disability or other applicable legally protected characteristics.
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If alternative methods of assistance are needed with the application process additional contact information has been provided below:


407.459.1830