Senior Data Scientist AI, ML, Databricks, Python & SQL

Data Science, Advanced Analytics, and AI/ML SolutionsThis role is focused on Data Science, Advanced Analytics, and AI/ML solutions. The candidate will work with large, complex, and structured/unstructured datasets to identify trends, solve business problems, and develop actionable insights. The role will involve designing data solutions, building analytical models and dashboards, supporting data pipelines, and translating business requirements into AI and data science solutions that deliver measurable business value.Education Requirements:Bachelor's degree with a major in Mathematics, Computer Science, or Statistics.Job Requirements:Strong experience in Data Science, Advanced Analytics, Machine Learning, and/or Artificial Intelligence.4-5 years of experience in Machine Learning, Data Science, AI, Databricks, Python, and SQLExperience working with large, complex, structured and unstructured datasets.Strong knowledge of statistical analysis, mathematical concepts, data modeling, and exploratory data analysis.Experience integrating and analyzing data from multiple internal and external sources.Ability to identify trends, patterns, correlations, and business insights from complex datasets.Experience designing and developing data models, databases, datasets, reports, dashboards, and analytical solutions.Strong programming and scripting skills for data analysis, reporting, and automation.Experience building or defining Machine Learning / AI solutions that address business problems.Ability to translate complex business requirements into technical data science/AI solutions.Experience working closely with Data Analysts and Data Engineers, including reviewing data pipelines and identifying optimization opportunities.Strong understanding of data cleansing, transformation, integration, and preparation for statistical analysis.Ability to work with unstructured data and determine appropriate methods for storing, managing, consuming, and analyzing it.Strong problem-solving and analytical skills with the ability to provide actionable recommendations to business decision-makers.Excellent communication skills and ability to explain complex technical concepts to business stakeholders.Experience developing and maintaining reports, information dashboards, data generators, and end-user data resources is preferred.Job responsibilities:Addresses business problems by applying advanced analytics techniques through broad parameters on big, unstructured data sets.Designs databases for unstructured data sets, defining how the data will be stored, consumed, integrated and managed.Develops optimal techniques and problem-solves to understand and explore multiple reasons for correlations between disparate data sets; provides coaching on how to transform and clean data into an appropriate form for statistical analysis.Conducts exploratory data analysis from complex data sources and builds key data sets.Works closely with data analysts and data engineers to review and provide feedback on data pipelines and optimization opportunities.Translates complex business requirements and technical designs into data science / artificial intelligence solutions aligned to business goals that deliver measurable value to the organization.Generates reports and regular datasets or report information for end-users, using system tools and database or data warehouse queries and scripts. May create specifications for reports based on business requests.Designs, develops, and programs methods, processes, and systems to consolidate and analyze structured and unstructured, diverse sources to generate actionable insights and solutions for client services and product enhancement.Analyzes and models data to understand complex business issues and provide insight to decision makers.Integrates data from multiple sources to produce requested or required data elements.Programs and maintains reports, information dashboards, data generators, canned reports and other end-user information portals or resources.Uses advanced mathematical and statistical concepts and theories to analyze and collect data; identifies and interprets trends and patterns in datasets.Supports complex business problems and issues using unstructured data from internal and external sources to provide insight to decision-makers.Builds or defines machine learning / Artificial Intelligence (AI) solutions that create value for the business.**Only those lawfully authorized to work in the designated country associated with the position will be considered.**Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.