QuaXigma provides AI-powered software and data analytics services that help businesses compete more effectively. It delivers through cloud-based SaaS products and AI application development, backed…
QuaXigma provides AI-powered software and data analytics services that help businesses compete more effectively. It delivers through cloud-based SaaS products and AI application development, backed…
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About Us:
QX impact was launched with a mission to make AI accessible and affordable and deliver AI Products/Solutions at scale for enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights, businesses will continue to face challenges to better understand their customers and even lose them; Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.
Position Overview:
We are seeking a highly motivated Data Scientist Intern to join our dynamic team focused on analytics. This position will be based in the U.S. and is an exciting opportunity for aspiring data scientists to work on real-world business problems, collaborate with cross-functional teams, and gain hands-on experience in deploying AI-driven solutions that deliver measurable impact.
Key Responsibilities:
Design, develop, and maintain systems to process large datasets.
Perform deep-dive analyses on structured and unstructured datasets to identify trends, anomalies, and patterns.
Apply machine learning and AI frameworks to solve complex problems, with a focus on deep learning, regression, classification, and clustering.
Work with stakeholders to understand business challenges and translate them into well-defined analytical or statistical questions.
Qualifications:
Competencies:
Tech Savvy
Anticipating and adopting innovations in business-building digital and technology applications.
Self-Development
Why Join Us?
Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
Work on impactful projects that make a difference across industries.
Opportunities for professional growth and continuous learning.
Application Details:
Ready to make an impact? Apply today and become part of the QX Impact team!
Apply statistical techniques (e.g., hypothesis testing, probability distributions, and regression analysis) to validate assumptions and measure business impact.
Build and optimize data pipelines to clean, transform, and prepare data for modelling and reporting.
Create clear and compelling data visualizations and dashboards to communicate findings to both technical and non-technical audiences.
Develop and maintain data models, interfaces, and integrations to support evolving business needs.
Contribute to strategic planning of AI initiatives.
Advanced degree (PhD or MSc) in Computer Science, Machine Learning, Data Science, or a related field, or equivalent practical experience.
1+ years of experience in a data analytics, data science or machine learning role.
Solid understanding of core statistical concepts, including experimental design, significance testing, and Bayesian vs. Frequentist approaches.
Proficient in machine learning tools (e.g., PyTorch, TensorFlow, Scikit-learn, XGBoost).
Solid understanding of statistical analysis and machine learning algorithms.
Strong programming skills in languages such as Python, R, or SQL.
Experience designing, testing, and deploying machine learning models.
Skilled in accessing and managing data via SQL, cloud-based data pipelines, or Big Data platforms (e.g., Spark, Hadoop).
Understanding of software development best practices, including CI/CD, testing, and code reviews.
Awareness of MLOps practices and cloud-based compute/orchestration platforms.
Industry experience in finance, manufacturing, or similar domains is a plus, but not required.
Strong communication skills and the ability to work effectively in both individual and collaborative settings
Actively seeking new ways to grow and be challenged using both formal and informal development channels.
Action Oriented
Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
Optimizes Work Processes
Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.
