Jr Data Scientist
Reston, VA, US
Full Time Entry-level / Junior USD 60K - 90K
Description
Formed in 2011, Inadev is focused on its founding principle to build innovative customer-centric solutions incredibly fast, secure, and at scale. We deliver world-class digital experiences to some of the largest federal agencies and commercial companies. Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation.
POSITION DESCRIPTION:
Inadev is seeking a motivated and talented Jr Data Scientist to join our innovative team. This role offers an exciting opportunity to contribute to impactful projects for our clients, leveraging cutting-edge technologies in machine learning, data analytics, and artificial intelligence.
RESPONSIBILITES:
- Analyze, preprocess, and interpret structured and unstructured data.
- Develop and implement machine learning models and algorithms.
- Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions.
- Create clear data visualizations and reports for stakeholders.
- Continuously evaluate and improve existing models to ensure accuracy and efficiency.
- Maintain data integrity and security in compliance with project requirements.
- Implement end to end solutions leveraging cloud native technologies
PHYSICAL DEMANDS:
- Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
Inadev Corporation does not discriminate against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibits discrimination against all individuals based on their race, color, religion, sex, sexual orientation/gender identity, or national origin.
Requirements
MANDATORY REQUIREMENTS/SKILLS:
- Bachelor’s Degree in Data Science, Computer Science, Statistics, or a related field and 2+ years of experience in building enterprise level solutions. A Master’s Degree and 1+ year of pertinent experience can be substituted for the requirement of 2+ years of experience.
- Proficiency in Python, R, or similar programming languages.
- Hands-on experience with machine learning libraries/frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Strong analytical and problem-solving skills.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Familiarity with SQL and database management.
- Excellent verbal and written communication skills.
DESIRED REQUIREMENTS/SKILLS:
- Experience developing and deploying full-stack applications using frameworks such as React, Angular, or Vue.js for the frontend and Node.js, Django, or Flask for the backend.
- Proficiency in designing and interacting with RESTful APIs or GraphQL APIs.
- Knowledge of database systems, including SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Couchbase).
- Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) and experience with deploying containerized applications using Docker or Kubernetes.
- Hands-on experience with CI/CD pipelines for automated testing and deployment.
- Understanding of authentication and authorization mechanisms (e.g., OAuth, JWT, SAML).
- Knowledge of serverless technologies (e.g., AWS Lambda, Google Cloud Functions) and microservices architecture.
- Exposure to version control systems like Git, and collaboration using platforms such as GitHub or GitLab.
- Strong ability to write reusable and modular code with a focus on maintainability and scalability.
Tags: Angular APIs Architecture AWS Azure CI/CD Computer Science Data Analytics Data visualization Django Docker Flask GCP Git GitHub GitLab Google Cloud GraphQL Kubernetes Lambda Machine Learning Matplotlib Microservices ML models MongoDB MySQL Node.js NoSQL Pipelines PostgreSQL Power BI Python PyTorch R React Scikit-learn Security SQL Statistics Tableau TensorFlow Testing Unstructured data Vue
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