Data Science Analyst

4 days ago


Plano, United States W3Global Inc. Full time
Job DescriptionJob DescriptionData Science Analyst

Location: Plano, TX (Hybrid: Minimum 3 days onsite)
Position Type: Full-Time

Our client is seeking a talented and driven Data Science Analyst to join their team and contribute to impactful, data-driven business decisions. This role combines computational science, predictive modeling, and business strategy to develop and implement end-to-end data solutions.

Key Responsibilities
  • Collaborate with cross-functional teams and business partners to identify critical questions and drive impactful data-based decisions.

  • Extract, manipulate, and clean data from diverse sources using SQL and Python, preparing it for analysis and model development.

  • Develop and implement predictive and prescriptive models using advanced statistical and machine learning techniques to address key business challenges.

  • Create data visualizations that effectively communicate insights to both technical and non-technical stakeholders.

  • Transition models from development to production within the organization's cloud ecosystem, ensuring efficient deployment.

  • Stay updated with industry trends and tools, incorporating innovative methodologies to enhance solutions.

Qualifications - What You Bring

Must-Have Skills:

  • Master's degree or higher in a relevant field (e.g., mathematics, statistics, data science, physics).

  • Proficiency in Python for building and optimizing data solutions.

  • Hands-on experience with statistical and machine learning frameworks (e.g., statsmodels, scikit-learn, PyTorch).

  • Strong knowledge of predictive modeling techniques, including Logistic Regression, Time Series Analysis, Decision Trees, Gradient-Boosted Trees, Neural Networks, and more.

  • Problem-solving mindset with a proactive approach to developing innovative solutions.

Preferred Skills:

  • Experience with version control systems like GitHub and familiarity with CI/CD practices for model deployment.

  • Hands-on experience with cloud-based machine learning platforms (e.g., AWS SageMaker or Azure ML).

  • Demonstrated ability to lead through influence and prioritize complex, cross-departmental projects.

  • Capability to modernize legacy infrastructure and processes.

Why Join Our Client?
  • Engage in dynamic projects that use advanced data science techniques to shape business decisions.

  • Work in a collaborative and innovative environment that encourages professional growth and skill development.

  • Contribute to cutting-edge solutions leveraging the latest cloud-based platforms and machine learning tools.

If you're passionate about solving complex problems with data, enjoy working in a collaborative setting, and have a proactive approach to creating impactful solutions, apply now to join our client's team and make a difference



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