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Data Scientist I |T3|AI|Analytics and Insights

Job Description - Data Scientist I |T3|AI|Analytics and Insights

Description
As a Data Scientist I, you will be a key member of our Analytics, Insights, and Innovation team, working closely with various business units to provide data-driven insights and solutions. Your role will involve developing and implementing analytical models, leveraging AI/ML techniques to solve complex business problems, and driving data-centric decision-making processes.

Responsibilities
  • Develop and maintain data-driven models and algorithms to support business decision-making.
  • Apply AI/ML techniques to analyze large datasets and extract valuable insights.
  • Collaborate with business stakeholders to understand their data needs and translate them into analytical methodologies.
  • Build scalable analytical workflows and ensure data integrity and security.
  • Conduct statistical analysis, predictive analytics, and forecasting to support business planning.
  • Implement classification and regression models for various business use cases.
  • Explore and apply Generative AI and LLM techniques to solve business problems.
  • Create compelling data visualizations and executive dashboards to communicate insights.
  • Provide technical expertise and guidance to junior team members.
  • Stay updated with the latest advancements in data science and AI technologies.


Qualifications
  • 2-3 years of experience in data science or AI/ML-focused roles.
  • Strong programming skills in Python and SQL, with expertise in data wrangling and handling large datasets.
  • Hands-on experience with data science frameworks like Pandas, NumPy, and Scikit-learn.
  • Familiarity with statistical analysis, machine learning, and model evaluation techniques.
  • Exposure to Generative AI, prompt engineering, and practical AI applications.
  • Excellent skills in Excel and PowerPoint for data analysis and presentation.
  • Ability to translate business requirements into analytical solutions.
  • Creative problem-solving skills and a passion for data-driven innovation.
  • Effective communication skills to explain complex concepts to non-technical stakeholders.
  • A collaborative mindset and a desire to work in a dynamic, fast-paced environment.


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