Data Scientist

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business teams to solve complex problems and deliver measurable business value. Primary Responsibilities Analyze large and complex structured and unstructured datasets from multiple internal and external sources to identify trends, patterns, correlations, and actionable insights. Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems. Apply advanced statistical, mathematical, and analytical techniques to model data and support data-driven decision-making. Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning. Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis. Design and define data structures and storage approaches for unstructured and diverse datasets, including how data is consumed, integrated, and managed. Develop analytical models and algorithms to understand relationships and correlations across disparate datasets. Identify data quality issues and provide guidance on data transformation, cleansing, and preparation for analytical use. Generate reports, dashboards, datasets, and other analytical resources to communicate insights to business and technical stakeholders. Translate complex business requirements and technical designs into data science and AI solutions aligned with organizational goals. Collaborate closely with Data Analysts, Data Engineers, Business Stakeholders, and other technical teams to understand requirements and deliver effective solutions. Review data pipelines and provide recommendations for data quality, performance, scalability, and optimization. Develop reusable analytical processes, reporting solutions, and data products to support ongoing business needs. Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders. Provide guidance and coaching on data preparation, analytical techniques, and best practices when needed. Required Qualifications & Experience 5+ years of experience in Data Science, Advanced Analytics, Machine Learning, or a related field. Strong experience working with large, complex, structured, and unstructured datasets. Strong knowledge of statistics, mathematics, data analysis, and predictive modeling. Hands-on experience with machine learning and AI techniques. Strong proficiency in SQL and experience working with databases or data warehouses. Experience with Python, R, or similar programming languages for data analysis and modeling. Experience performing exploratory data analysis, data preparation, transformation, and cleansing. Experience integrating and analyzing data from multiple sources. Strong understanding of data pipelines, data structures, and data engineering concepts. Experience developing analytical models and translating business requirements into technical data science solutions. Strong problem-solving and analytical skills, with the ability to investigate complex data relationships and identify meaningful insights. Excellent communication skills with the ability to present complex analytical findings to both technical and non-technical audiences. Experience collaborating with cross-functional teams, including Data Engineering, Data Analytics, Product, and Business teams.