Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the companys success. As a(n) [position title] within PNC's [name of division] organization, you will be based in [city/state location of position]. Job Profile <h1>Position Overview</h1>As a Data Scientist within PNC's Technology organization, you will be based in Pittsburgh, PA, Cleveland, OH, Birmingham, AL, Dallas, TX, or Home location in New Jersey. The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the managers discretion. This position may not be available in all geographic locations. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.<h1>Job Description</h1><ul><li>Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.</li><li>Participates in the data gathering, data processing and data mining of large and complex datasets.</li><li>Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.</li><li>Runs analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling.</li><li>May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.</li></ul>PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:<ul><li>Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.</li><li>Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.</li></ul><h1>Qualifications</h1>Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.<h2>Preferred Skills</h2>Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning<h2>Competencies</h2>Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools<h2>Work Experience</h2>Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.<h2>Education</h2>Masters<h2>Certifications</h2>No Required Certification(s)<h2>Licenses</h2>No Required License(s)<h1>Benefits</h1>PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility*: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.To learn more about these and other programs, including benefits for full time and part-time employees, visit <a href="https://www.pncbenefits.com/" target="_blank">pncbenefits.com</a> > New to PNC.*For more information, please click on the following links:<a href="https://www.pncbenefits.com/timeaway.html" target="_blank">Time Away from Work</a><a href="https://www.pncbenefits.com/ft-benefits-overview.html" target="_blank">PNC Full-Time Benefits Summary</a><a href="https://www.pncbenefits.com/pt-benefits-overview.html" target="_blank">PNC Part-Time Benefits Summary</a><h1></h1><h1>Disability Accommodations Statement</h1>If an accommodation is required to participate in the application process, please contact us via email at <a target="_blank" href="mailto:AccommodationRequest@pnc.com">AccommodationRequest@pnc.com</a>. Please include accommodation request in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.<h1>Equal Employment Opportunity (EEO)</h1> PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.<h1>California Residents </h1>Refer to the <a target="_blank" href="https://content.pncmc.com/live/pnc/aboutus/HR/Onboarding/PNC_CCPA_Privacy_Disclosure_Employee.pdf">California Consumer Privacy Act Privacy Notice</a> to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

<h3>Job Description</h3><div>Job Description<div>00015 Store Support CenterLE_301 Hibbett Retail, Inc.SUMMARYThe Senior Data Scientist will be responsible for leading advanced analytics initiatives that drive strategic decision-making and enhance operational efficiency across our retail organization. This role will collaborate closely with cross-functional teams including retail operations, marketing, finance, and IT to develop and deploy data-driven solutions that address complex business challenges. This role will lead advanced statistical analysis initiatives aimed at extracting actionable insights from large complex datasets to drive strategic decision-making.ESSENTIAL DUTIES AND RESPONSIBILITIES<ul><li>Lead the development and implementation of advanced analytical models and algorithms to extract actionable insights from complex datasets.</li><li>Collaborate with cross-functional teams and senior leadership to define business objectives, identify analytical opportunities, and develop data-driven strategies to achieve organizational goals.</li><li>Provide expert guidance and consultation on the application of data science techniques to address key business challenges.</li><li>Develop and implement optimization algorithms to improve operational efficiency, customer engagement, and business performance.</li><li>Translate analytical insights into actionable recommendations and drive alignment across teams to facilitate decision-making.</li><li>Stay abreast of the latest developments in data science and industry needs.</li><li>Proactively identify opportunities to apply innovative analytical techniques and emerging technologies to solve business problems and drive competitive advantage.</li><li>Provide mentorship and guidance to junior data scientists, fostering a culture of learning and professional growth within the team.</li><li>Ensure the accuracy, reliability, and reproducibility of analytical models and findings through rigorous testing and validation.</li><li>Manage multiple projects simultaneously, prioritize tasks, and meet deadlines in a fast-paced, dynamic environment.</li><li>Develop project plans, track progress, and communicate status updates to stakeholders to ensure successful project delivery.</li><li>Adhere to ethical standards and regulatory requirements governing data privacy, security, and confidentiality.</li><li>Implement measures to safeguard sensitive information and ensure compliance with industry regulations and company policy.</li></ul>SUPERVISORY RESPONSIBILITIESNo supervisory responsibilities.QUALIFICATIONS<ul><li>Bachelor’s degree in Information Technology, Business Management, or a related field or equivalent experience.</li><li>4 or more years of hands-on experience in applying advanced analytics to solve complex business problems in the retail industry.</li><li>Working experience in software and/or business solution architecture design.</li><li>Experience working with large-scale datasets, data visualization tools (Tableau, Power BI), and SQL databases.</li><li>Excellent written and verbal communication skills.</li><li>Excellent organizational and time management skills.</li><li>Self Sufficient/Self Starter, strong planning and organizing skills.</li><li>Strong problem-solving skills, attention to detail, and a passion for continuous learning and innovation</li></ul>Hibbett's Privacy PolicyCandidates will have an option during the application process to withdraw their application prior to completion of the application. Throughout this online job application process, you will be asked to provide personal information about yourself. Please review Hibbett’s Privacy Policy to understand how the information you provide will be utilized and safeguarded.By clicking the Apply button, I acknowledge that I have read and understand the Hibbett's Privacy Policy. Further, I consent to the use of the same as my Electronic Agreement for purposes hereof. I acknowledge that I have a right to withdraw such consent at any time by contacting Hibbett.</div></div>

Major Duties<ul><li>Serves as a Senior Data Scientist leading teams for the most complex projects. May also serve as a team participant or an independent analyst on professional data science teams.</li><li>Applies the rigors of the data science discipline to data analysis in Cyber, Information Technology and economic analyses of complex and potentially controversial major information technology systems and networks.</li><li>Responsible for advanced level data science analytics characterized as highly unstructured and complex, having little definition or clarity, and especially complex analytic projects assigned to the organization.</li><li>Provides business metrics and support for the most complex projects to identify improvements (contribution to the improvement should be monitored initially and over multiple iterations).</li><li>Coordinates with the data steward to ensure that the information used follows the regulatory and security policies in place.</li><li>Qualify where information can be stored or what information, external to the organization, may be used in support of the use case.</li><li>Lead analytical projects, providing direction and guidance to project members of a professional nature in the execution and implementation of projects.</li></ul>Qualifications/ Specialized ExperienceWho May Apply: Only applicants who meet one of the employment authority categories below are eligible to apply for this job. You will be asked to identify which category or categories you meet, and to provide documents which prove you meet the category or categories you selected. See Proof of Eligibility for an extensive list of document requirements for all employment authorities. Current Army Cyber Excepted Service (CES) Employee Current Army Defense Civilian Intelligence Personnel System (DCIPS) Employee Current Civilian Employees of the Organization Applying to Cyber Excepted Service (CES) Positions Current Department of Army Civilian Employees Current DoD Cyber Excepted Service (CES) Employee (non-Army) Current DoD Defense Civilian Intelligence Personnel System (DCIPS) Employee (non-Army) Current Permanent DoD Civilian Employee (non-Army) Applying to Cyber Excepted Service Positions Non-Department of Defense (DoD) Transfer Applying to Cyber Excepted Service Positions Army CES positions apply Veteran's Preference to preference eligible candidates, as defined by Section 2108 of Title 5 U.S.C., in accordance with the procedures provided in DoD Instruction 1400.25, Volume 3005, "CES Employment and Placement". If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you must submit documents verifying your eligibility with your application package. In order to qualify, you must meet the education and experience requirements described below. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student; social). You will receive credit for all qualifying experience, including volunteer experience. Your resume must clearly describe your relevant experience; if qualifying based on education, your transcripts will be required as part of your application. Additional information about transcripts is in this document. Basic Requirement for Data Scientist: A. Degree: Bachelor's degree (or higher degree) in in mathematics, statistics, computer science, data science or field directly related to the position. OR B. Combination of Education and Experience: Courses equivalent to a major field of study (30 semester hours) as shown in A above, plus appropriate experience or additional education. In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below: GG-11 Qualifying Experience: To qualify based on your experience, your resume must describe one year of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) assisting with analyzing data in cyber, information technology, or other areas to ensure plans meet programming requirements; (2) analyzing economic information to ensure plans meet budgetary requirements; (3) working on a team providing business metrics and support for complex projects to identify needed improvements; (4) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research. GG-12 Qualifying Experience: To qualify based on your experience, your resume must describe one year of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) analyzing data in cyber, information technology and/or economic information to ensure plans meet programming or budgetary requirements; (2) providing business metrics and support for complex projects to identify needed improvements; (3) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research. GG-13 Qualifying Experience: To qualify based on your experience, your resume must describe two years of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) leading teams in analyzing data in cyber, information technology to ensure plans meet programming; (2) analyzing economic information to ensure plans meet budgetary requirements; (3) providing business metrics and support for complex projects to identify needed improvements; (4) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research; (5) ensuring information used is in compliance with regulations and security policies.

Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the companys success. As a(n) [position title] within PNC's [name of division] organization, you will be based in [city/state location of position]. Job Profile <h1>Position Overview</h1>At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the companys success. As a Data Science Lead you will work within PNC's AI and Intelligent Automation Center. You will be based in Pittsburgh, Cleveland, Birmingham, Dallas, Philadelphia, New York or New Jersey. The AI and Intelligent Automation Center sits at the intersection of business, innovation, and artificial intelligence (AI) to enable PNCs businesses to transform. We solve the banks toughest problems while improving customer and employee experiences. As a Center of Excellence (CoE), we work hand in hand with different line of businesses and their technology teams to identify and help deliver high value business opportunities, maintain and enhance AI technologies and capabilities, and bring new AI technologies into the bank. Essential Skills and Experience: Experience in data science, machine learning, or a related field. Experience leading a team of data scientists. Strong background in statistical analysis, predictive modeling, and advanced data exploration techniques. Proficient in programming languages like Python, R, or Scala, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience working with distributed computing frameworks such as Spark for handling large datasets. Excellent problem-solving and critical thinking skills, with the ability to break down complex problems and devise effective solutions. Strong interpersonal and communication skills, including the ability to present technical concepts to both technical and non-technical stakeholders. Proven ability to define data science strategy and align it with broader business objectives. Experience in Agile project management methodologies, including setting goals, defining milestones, and tracking progress. Understanding of the latest trends and best practices in data science and machine learning, including the use of generative AI models. Experience in building and managing end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring. A strong advocate for a collaborative, inclusive work environment that encourages knowledge-sharing and continuous learning. Desired Skills and Experience: Understanding of cloud computing platforms (e.g., AWS, Google Cloud, Azure) and experience with deploying and managing data science models in production. Familiarity with data engineering and the ability to work with data engineers to build scalable and efficient data pipelines. Experience in leading and mentoring junior data scientists, including providing feedback and guidance for professional development. Strong business acumen and the ability to align data science initiatives with organizational goals and strategies. Extensive experience leveraging generative AI models (e.g., GPT-3, DALL-E) to optimize workflows and drive innovation within the team.<h1>Job Description</h1><ul><li>Directs and consults on analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.</li><li>Directs the data gathering, data processing and data mining of large and complex datasets. Provides deep technical expertise to advance the data science capabilities of analytics teams.</li><li>Serves as a representative of PNC; understands the needs and challenges PNC is facing and provides thought leadership around data science activities both internally and externally.</li><li>Supervises the implementation of advanced analytics projects, and as an expert in the field, helps other data scientists present the analytical processes and outcomes to management.</li><li>Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.</li></ul>PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:<ul><li>Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.</li><li>Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.</li></ul><h1>Qualifications</h1>Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.<h2>Preferred Skills</h2>Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning<h2>Competencies</h2>Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools<h2>Work Experience</h2>Roles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry relevant experience is typically 8+ years. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.<h2>Education</h2>Masters<h2>Certifications</h2>No Required Certification(s)<h2>Licenses</h2>No Required License(s)<h1>Pay Transparency</h1>Base Salary: $80,000.00 $209,300.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.<h1>Application Window</h1>Generally, this opening is expected to be posted for two business days from 10/24/2024, although it may be longer with business discretion.<h1>Benefits</h1>PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility*: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.To learn more about these and other programs, including benefits for full time and part-time employees, visit <a href="https://www.pncbenefits.com/" target="_blank">pncbenefits.com</a> > New to PNC.*For more information, please click on the following links:<a href="https://www.pncbenefits.com/timeaway.html" target="_blank">Time Away from Work</a><a href="https://www.pncbenefits.com/ft-benefits-overview.html" target="_blank">PNC Full-Time Benefits Summary</a><a href="https://www.pncbenefits.com/pt-benefits-overview.html" target="_blank">PNC Part-Time Benefits Summary</a><h1></h1><h1>Disability Accommodations Statement</h1>If an accommodation is required to participate in the application process, please contact us via email at <a href="mailto:AccommodationRequest@pnc.com" target="_blank">AccommodationRequest@pnc.com</a>. Please include accommodation request in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.<h1>Equal Employment Opportunity (EEO)</h1> PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.<h1>California Residents </h1>Refer to the <a href="https://content.pncmc.com/live/pnc/aboutus/HR/Onboarding/PNC_CCPA_Privacy_Disclosure_Employee.pdf" target="_blank">California Consumer Privacy Act Privacy Notice</a> to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

Directs and consults on analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights. Directs the data gathering, data processing and data mining of large and complex datasets. Provides de Data Scientist, Lead, Automation, Data Science, Data Architect, Scientist, Technology, Banking

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Data Scientist Jobs in Birmingham, AL

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