Machine Learning Engineer - Data Science Innovation (DSI)
Are you passionate about using cutting-edge technology to drive innovation and make an impact? Do you thrive in a dynamic and fast-paced environment? PNC Financial Services is looking for a highly skilled and motivated Machine Learning Engineer to join our Data Science Innovation (DSI) team. As a member of this team, you will have the opportunity to work on exciting projects that leverage machine learning and data science to solve complex business problems. We are seeking individuals with a strong background in machine learning, data analysis, and programming who are eager to apply their skills to drive strategic initiatives and propel the future of banking. If you are ready to be part of a forward-thinking and collaborative team, we want to hear from you.
- Develop and implement machine learning models to solve complex business problems and drive innovation within the company.
- Collaborate with cross-functional teams to identify opportunities and develop strategies for utilizing machine learning and data science techniques.
- Utilize programming languages and tools such as Python, R, and SQL to analyze large datasets and develop predictive models.
- Stay up-to-date with the latest advancements in machine learning and data science, and proactively identify opportunities to integrate new technologies into existing processes.
- Communicate findings and recommendations to stakeholders in a clear and concise manner.
- Work with stakeholders to understand business goals and requirements, and translate them into technical solutions.
- Collaborate with data engineers to ensure efficient and accurate data collection and preparation for machine learning models.
- Test and evaluate the performance of machine learning models, and make necessary adjustments to improve their accuracy and effectiveness.
- Continuously monitor and maintain the performance of deployed models, and make updates as needed.
- Participate in team meetings, brainstorming sessions, and knowledge sharing to foster a collaborative and innovative environment.
- Adhere to company policies and procedures, as well as industry best practices, for data privacy and security.
- Mentor and assist other members of the team in developing their skills and knowledge in machine learning and data science.
Strong Background In Machine Learning: The Ideal Candidate For This Position Should Have A Deep Understanding And Experience In Various Machine Learning Techniques And Algorithms, Such As Regression, Clustering, And Neural Networks. They Should Also Possess A Solid Foundation In Statistics And Data Analysis.
Proficiency In Programming Languages And Tools: A Machine Learning Engineer At Pnc Financial Services Should Be Proficient In Programming Languages Such As Python, R, And Java. They Should Also Have Experience Working With Data Manipulation And Visualization Tools Such As Sql, Tableau, And Power Bi.
Experience With Big Data Technologies: As Pnc Financial Services Deals With A Large Volume Of Data, The Ideal Candidate Should Have Experience Working With Big Data Technologies Such As Hadoop, Spark, And Mapreduce. They Should Also Be Familiar With Cloud Computing Platforms Like Aws, Azure, Or Google Cloud.
Strong Mathematical And Analytical Skills: A Machine Learning Engineer Should Possess Strong Mathematical And Analytical Skills To Be Able To Understand And Interpret Complex Data Sets. They Should Also Have The Ability To Identify Patterns And Trends In Data And Use It To Develop Predictive Models.
Communication And Collaboration Skills: As A Machine Learning Engineer, The Candidate Will Be Working Closely With Data Scientists, Software Engineers, And Business Stakeholders. Therefore, They Should Have Excellent Communication And Collaboration Skills To Effectively Present Their Findings And Work In A Team Environment.
Data Analysis
Deep Learning
Natural language processing
Data Mining
Statistical modeling
Machine learning algorithms
Predictive modeling
Programming Languages (Python, R, Java)
Big Data Technologies (Hadoop, Spark
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
Interpersonal Skills
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Machine Learning Engineer - Data Science Innovation (DSI) in Pittsburgh, PA, USA is $90,000 - $150,000 per year. This can vary depending on factors such as experience, education, and company size.
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PNC Financial Services Group, Inc. is an American bank holding company and financial services corporation based in Pittsburgh, Pennsylvania. Its banking subsidiary, PNC Bank, operates in 19 states and the District of Columbia with 2,459 branches and 9,051 ATMs.
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