Senior AI/ML Engineer - R01570350

Senior Data Scientist

Experience Range: 5 - 8 years of experience, including at least 5 years of hands-on work in data science, analytics, or related fields, with recent exposure to agentic AI solutions Key Responsibilities:

• Translate complex business challenges into structured data science problems, ensuring alignment with organizational objectives and measurable outcomes

• Develop, monitor, and validate OKRs using advanced statistical techniques to deliver actionable insights and track progress

• Execute advanced data wrangling, cleansing, and transformation on large, complex datasets to enable robust modeling and analysis

• Deliver impactful data-driven insights through clear data storytelling, utilizing visualization tools to communicate findings effectively to stakeholders

• Apply design thinking methodologies to create innovative analytical solutions and continuously optimize data science workflows and processes

• Lead technical decision-making for modeling iterations, optimizing model performance, and balancing computational efficiency with business requirements

• Collaborate with cross-functional teams, including engineering and product, to implement scalable data science solutions that drive business value

• Promote data literacy and foster a culture of data-driven decision-making by sharing best practices and industry trends across the organization

Required Skills:

• Advanced proficiency in Python or R for data wrangling, preprocessing, and statistical analysis

• Expertise in statistical modeling and validation of performance metrics

• Experience with data visualization tools such as Tableau, Power BI, or Matplotlib

• Hands-on experience with machine learning algorithms and evaluation metrics

• Strong background in feature engineering and data mining

• Familiarity with big data technologies such as Spark or Hadoop

• Experience with cloud-based data platforms including AWS, Azure, or Google Cloud

• Knowledge of MLOps practices and deployment pipelines

Preferred Skills:

• Experience with deep learning frameworks such as TensorFlow or PyTorch

• Exposure to agentic AI and rapid domain adaptation

• Experience with automation tools and scripting for data workflows

Desired Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a closely related discipline

• Certification in Data Science or Machine Learning from a recognized institution, such as Microsoft Certified: Azure Data Scientist Associate or IBM Data Science Professional Certificate

• Relevant coursework or certification in statistical analysis or business analytics