Dice
Senior Data Scientist
Dice, Washington, District of Columbia, us, 20022
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Mudrasys, is seeking the following. Apply via Dice today!
Responsibilities:
Data analysis and modeling, including: Designing and developing machine learning and predictive models and algorithms.Performing exploratory data analysis to identify patterns and trends.Developing and maintaining database and data systems to support business needs.Interpreting and communicating data analysis results to stakeholders.Collaborating with other teams to develop and implement data-driven solutions.Data management and governance, including: Ensuring compliance with data privacy regulations and company data governance policies.Developing and implementing data access and security controls.Identifying and resolving data quality issues.Managing data migration and integration projects.Provide subject matter expertise on data-related topics, including: Providing guidance and support to other teams on data-related issues.Developing and delivering training and education materials related to data analysis and modeling.Employing data science tools to improve data collection and accuracy.Identifying opportunities to utilize data science tools to streamline business processes and increase efficiency.Using data science tools to improve technical reports and the effectiveness of reporting databases and platforms.Collaborate with stakeholders to identify and prioritize data-related initiatives, including: Partnering with business leaders to understand their data needs and goals.Contributing to the development of data strategies and roadmaps.Providing recommendations for data-related investments and initiatives.Leading or participating in cross-functional teams to execute data-related initiatives.Qualifications:
Minimum of 5 years of experience in data analysis/science and modeling, with a focus on machine learning and/or predictive analytics.Strong knowledge of data science tools, including data quality, governance, and security.Strong proficiency in data science tools such as R or Python. Experience with data visualization tools such as Tableau or Power BI. Experience with SQL and other database technologies.Ability to work independently and manage multiple projects simultaneously.Position:
Senior Data Scientist
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Responsibilities:
Data analysis and modeling, including: Designing and developing machine learning and predictive models and algorithms.Performing exploratory data analysis to identify patterns and trends.Developing and maintaining database and data systems to support business needs.Interpreting and communicating data analysis results to stakeholders.Collaborating with other teams to develop and implement data-driven solutions.Data management and governance, including: Ensuring compliance with data privacy regulations and company data governance policies.Developing and implementing data access and security controls.Identifying and resolving data quality issues.Managing data migration and integration projects.Provide subject matter expertise on data-related topics, including: Providing guidance and support to other teams on data-related issues.Developing and delivering training and education materials related to data analysis and modeling.Employing data science tools to improve data collection and accuracy.Identifying opportunities to utilize data science tools to streamline business processes and increase efficiency.Using data science tools to improve technical reports and the effectiveness of reporting databases and platforms.Collaborate with stakeholders to identify and prioritize data-related initiatives, including: Partnering with business leaders to understand their data needs and goals.Contributing to the development of data strategies and roadmaps.Providing recommendations for data-related investments and initiatives.Leading or participating in cross-functional teams to execute data-related initiatives.Qualifications:
Minimum of 5 years of experience in data analysis/science and modeling, with a focus on machine learning and/or predictive analytics.Strong knowledge of data science tools, including data quality, governance, and security.Strong proficiency in data science tools such as R or Python. Experience with data visualization tools such as Tableau or Power BI. Experience with SQL and other database technologies.Ability to work independently and manage multiple projects simultaneously.Position:
Senior Data Scientist
#J-18808-Ljbffr