Ports North
Data Scientist
Ports North, Evansville, Indiana, United States, 47725
DATA SCIENTIST
An established financial services firm is seeking a skilled and innovative Applied Data Scientist to join their dynamic team. The Data Scientist will leverage advanced analytics and machine learning techniques to analyze large datasets, uncover insights, and drive strategic decisions. This role is crucial in enhancing our data-driven approach to improving customer experience, risk management, and operational efficiency.
Responsibilities:
Analyze and interpret complex data sets to identify patterns, trends, and insights that can drive business decisions. Develop and implement predictive models and algorithms to support various functions, including customer segmentation, credit scoring, fraud detection, and marketing strategies. Collaborate with cross-functional teams, including IT, marketing, and risk management to define data requirements and deliver actionable insights. Communicate findings and recommendations to stakeholders through clear, concise reports and visualizations. Stay current with advancements in data science, machine learning, and artificial intelligence and apply these advancements to improve analytical methodologies. Ensure data integrity and quality by developing and maintaining robust data pipelines. Provide guidance and mentorship to junior data scientists and analysts.
Requirements:
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science or related field. Proven experience as a Data Scientist, preferably within the financial services industry or in a highly regulated industry. Proficiency in programming languages such as SAS, Python, R, or SQL. Strong knowledge of machine learning techniques, statistical modeling, and data mining. Experience with data visualization tools such as Tableau, Power BI, or similar platforms. Excellent analytical and problem-solving skills, with the ability to work with large, complex datasets. Strong communication skills, with the ability to present complex information clearly and concisely to both technical and non-technical stakeholders. Knowledge of compliance is a plus. Ability to work collaboratively in a team environment and manage multiple projects simultaneously. Proficiency or experience using SAS and SAS Viya is preferred.
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Responsibilities:
Analyze and interpret complex data sets to identify patterns, trends, and insights that can drive business decisions. Develop and implement predictive models and algorithms to support various functions, including customer segmentation, credit scoring, fraud detection, and marketing strategies. Collaborate with cross-functional teams, including IT, marketing, and risk management to define data requirements and deliver actionable insights. Communicate findings and recommendations to stakeholders through clear, concise reports and visualizations. Stay current with advancements in data science, machine learning, and artificial intelligence and apply these advancements to improve analytical methodologies. Ensure data integrity and quality by developing and maintaining robust data pipelines. Provide guidance and mentorship to junior data scientists and analysts.
Requirements:
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science or related field. Proven experience as a Data Scientist, preferably within the financial services industry or in a highly regulated industry. Proficiency in programming languages such as SAS, Python, R, or SQL. Strong knowledge of machine learning techniques, statistical modeling, and data mining. Experience with data visualization tools such as Tableau, Power BI, or similar platforms. Excellent analytical and problem-solving skills, with the ability to work with large, complex datasets. Strong communication skills, with the ability to present complex information clearly and concisely to both technical and non-technical stakeholders. Knowledge of compliance is a plus. Ability to work collaboratively in a team environment and manage multiple projects simultaneously. Proficiency or experience using SAS and SAS Viya is preferred.
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