Data Scientist

Job Requirements

At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place - to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.

Summary:

We are seeking an innovative and results-driven Data Scientist with a proven track record and portfolio. In this role we would expect the candidate to independently collaborate with business stakeholders to identify potential areas where we would be able to deploy predictive models, leveraging statistical analysis and machine learning techniques to extract valuable insights

Key Responsibilities

Collect, preprocess, and analyze structured and unstructured data from multiple sources.

Develop and implement machine learning models, predictive algorithms, and statistical analyses.

Design and run experiments to validate hypotheses and measure outcomes.

Collaborate with cross-functional teams to translate business problems into analytical solutions.

Present insights, findings, and recommendations through visualizations and storytelling.

Build scalable, production-ready models and monitor their performance over time.

Ensure data integrity, quality, and compliance with company standards and policies.

Stay up to date with emerging trends, tools, and techniques in data science and AI.

We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.

We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.

Work Experience

Experience and Skills:

Qualifications

Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.

Proven experience as a Data Scientist or in a similar role with the project details

Strong programming skills in Python or R, with experience in libraries/frameworks (e.g., pandas, scikit-learn, TensorFlow, PyTorch).

Proficiency in SQL and working with large datasets.

Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.

Experience with data visualization tools (Tableau, Power BI, matplotlib, seaborn, etc.).

Excellent problem-solving skills and business acumen.

Strong communication skills to explain complex concepts to both technical and non-technical audiences.

Preferred Skills

Experience with big data technologies (Hadoop, Spark, or Databricks).

Familiarity with cloud platforms (AWS, GCP, or Azure).

Knowledge of MLOps practices and model deployment pipelines.

Background in natural language processing (NLP), computer vision, or deep learning.

Experience in a specific domain (finance, healthcare, e-commerce, etc.) is a plus.

Behavioral

Effective at cross-functional/cross-cultural teamwork

Responsive to operational needs and sense of urgency

Discretion when dealing with confidential information

Available to work on US time zone or mixed