IBM
Consulting Data Scientist (TS Clearance) Professional Washington, US
IBM, Washington, District of Columbia, us, 20022
IntroductionAt IBM, we know that transformation drives change, and it is in our DNA to continuously transform. Our Business Transformation Consultants help drive large scale change that spans IBM business units and geographies. As a part of this team, you will have the unique opportunity to be a part of driving IBM’s ongoing transformation as a company that continuously innovates and leads the market.
Your Role and ResponsibilitiesWe are seeking a talented and versatile Data Science and Business Intelligence Engineer to join our dynamic team. This role is perfect for someone who thrives at the intersection of data science, data engineering, and business intelligence, and enjoys working closely with Federal clients to drive strategic decision-making through data-driven insights.Using PowerBI, create and manage dashboards, reports, and data visualizations to provide actionable insights.Automate workflows and processes using Power Automate.Create and maintain custom applications using Power Apps.Perform data extraction, transformation, and loading (ETL) processes.Implement and validate predictive and prescriptive models, creating and maintaining statistical models with a focus on big data and incorporating machine learning techniques in your projects.Write programs to cleanse and integrate data in an efficient and reusable manner; mixture of Python, SQL, DAX, and/or M.Work in an Agile, collaborative environment, partnering with other data scientists, engineers, consultants, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.Communicate with internal and external clients to understand and define business needs and appropriate modeling techniques to provide analytical solutions.Evaluate modeling results and communicate the results to technical and non-technical audiences.
Required Technical and Professional ExpertiseActive Top Secret Clearance is required to be considered for this position.Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field.Proven experience as a Business Intelligence Analyst, Data Scientist, Data Engineer, Data Analyst, Power BI Developer, or in a similar role.Proficiency in scripting languages such as Python, SQL, DAX, and/or M.Basic understanding of or experience with predictive/prescriptive modeling, linear regression, machine learning, etc.Experience in creating data visualization and reports to showcase/identify trends and report on information in either PowerBI, Tableau, or similar.You have a basic understanding of Cloud (AWS, Azure).
Preferred Technical and Professional ExpertiseExperience in Microsoft Power BI (DAX & M), Power Apps (Canvas Apps), & Power Automate.Certified in one or more of the following: Microsoft Power App Maker Certification, Microsoft Data Analyst Associate Certification, Microsoft Data Scientist Certification, and/or Microsoft Data Engineer Certification.Experience with data modeling, cleansing, and transformation of large datasets.Understanding and analyzing data to generate business insights, and providing specific recommendations based on those findings to optimize business results.Basic to intermediate knowledge of Python for data analysis, automation, and API creation.Knowledge and experience in Databricks.Experience in database management, developing and managing data architectures to support data science and BI activities.
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Your Role and ResponsibilitiesWe are seeking a talented and versatile Data Science and Business Intelligence Engineer to join our dynamic team. This role is perfect for someone who thrives at the intersection of data science, data engineering, and business intelligence, and enjoys working closely with Federal clients to drive strategic decision-making through data-driven insights.Using PowerBI, create and manage dashboards, reports, and data visualizations to provide actionable insights.Automate workflows and processes using Power Automate.Create and maintain custom applications using Power Apps.Perform data extraction, transformation, and loading (ETL) processes.Implement and validate predictive and prescriptive models, creating and maintaining statistical models with a focus on big data and incorporating machine learning techniques in your projects.Write programs to cleanse and integrate data in an efficient and reusable manner; mixture of Python, SQL, DAX, and/or M.Work in an Agile, collaborative environment, partnering with other data scientists, engineers, consultants, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.Communicate with internal and external clients to understand and define business needs and appropriate modeling techniques to provide analytical solutions.Evaluate modeling results and communicate the results to technical and non-technical audiences.
Required Technical and Professional ExpertiseActive Top Secret Clearance is required to be considered for this position.Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field.Proven experience as a Business Intelligence Analyst, Data Scientist, Data Engineer, Data Analyst, Power BI Developer, or in a similar role.Proficiency in scripting languages such as Python, SQL, DAX, and/or M.Basic understanding of or experience with predictive/prescriptive modeling, linear regression, machine learning, etc.Experience in creating data visualization and reports to showcase/identify trends and report on information in either PowerBI, Tableau, or similar.You have a basic understanding of Cloud (AWS, Azure).
Preferred Technical and Professional ExpertiseExperience in Microsoft Power BI (DAX & M), Power Apps (Canvas Apps), & Power Automate.Certified in one or more of the following: Microsoft Power App Maker Certification, Microsoft Data Analyst Associate Certification, Microsoft Data Scientist Certification, and/or Microsoft Data Engineer Certification.Experience with data modeling, cleansing, and transformation of large datasets.Understanding and analyzing data to generate business insights, and providing specific recommendations based on those findings to optimize business results.Basic to intermediate knowledge of Python for data analysis, automation, and API creation.Knowledge and experience in Databricks.Experience in database management, developing and managing data architectures to support data science and BI activities.
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