Data Scientist 3 4P/298

Job Summary: We are seeking a highly experienced and innovativeSenior Data Scientistto lead the development and implementation of data-driven solutions across the organization. This strategic role is ideal for a professional with deep technical expertise, strong leadership capabilities, and a proven track record of leveraging advanced analytics and machine learning to solve complex business challenges.

Key Responsibilities: Conduct advanced statistical and machine learning analyses on large, complex data setsDevelop and deploy predictive models using deep learning, ensemble methods, and neural networksCreate effective data visualizations using Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) Lead feature engineering efforts to improve model performancePerform statistical testing and hypothesis validation to support business decisionsDesign, build, and optimize custom machine learning algorithmsCollaborate with IT and data engineering to access and integrate data from varied sourcesDeploy machine learning models in production for real-time applicationsDesign and analyze A/B testing experimentsEnsure compliance with data privacy and ethical standardsPartner with business and technical teams to align data science efforts with organizational goalsMentor junior data scientists and promote a data-driven cultureDefine long-term strategy for data science initiatives and innovationQualifications: Master’s or Ph.D. in a quantitative discipline10–15 years of experience in data science, including leadership rolesStrong programming skills in Python, R, or JuliaExpert in advanced machine learning and statistical modelingExperienced in big data ecosystems (e.g., Hadoop, Spark) Proficient in SQL and data wrangling techniquesStrong communication and storytelling abilities for technical and non-technical audiencesDeep understanding of data governance, ethics, and compliancePreferred Tools & Technologies:

Languages/Frameworks: Python, R, SQL, SparkVisualization Tools:

• Tableau, Power BI, Python (Matplotlib, Seaborn, Plotly)
• Big Data Technologies:
• Hadoop, Spark, KafkaMachine Learning Libraries:
• Scikit-learn, TensorFlow, PyTorch, XGBoost