Data scientist jobs in Pleasantville, NJ

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

WHO WE ARE Founded by Josh Harris and David Blitzer, Harris Blitzer Sports & Entertainment (HBSE) includes in its portfolio the Philadelphia 76ers, the New Jersey Devils, leading venue Prudential Center in Newark, N.J., the Delaware Blue Coats, and the Utica Comets. Led by some of the best and brightest minds across a diverse spectrum of industries, HBSE positions itself as one of the most pioneering, innovative global sports and entertainment businesses to date. HBSE also strives to positively impact the local communities in which it operates through the powerful platform of sports. HBSE offers an energetic work environment built on collaboration, growth, and a quest to excel in everything we do. Prudential Center in downtown Newark, N.J. hosts more than 175 concerts, family shows and special events annually and is the fourth-ranked sports and entertainment venue in the U.S. by Pollstar and Billboard. It is home to the New Jersey Devils, a renowned NHL franchise with three Stanley Cup championships and a proud, passionate fan base. Prudential Center is also home to the brand-new GRAMMY Museum Experience, the first and only of its kind on the east coast. The Philadelphia 76ers organization is one of the most storied franchises in American sports, led by some of the best and brightest minds across a diverse spectrum of industries, HBSE positions itself as one of the most pioneering, innovative global sports and entertainment businesses to date. The 76ers have attracted the industry's top leadership talent from the NBA, NFL, NHL, MLB, MLS, UFC and NCAA, resulting in one of the most exciting, rewarding, and dynamic work environments within the sports industry. The 76ers offer a best-in-class workplace culture built on collaboration, growth, and a quest to excel in everything we do. OUR COMMITMENT TO DIVERSITY At HBSE, we engage, represent and reflect diverse voices of employees, players fans and communities. We are dedicated to hiring the best talent that is reflective of where we live, work and play - across all groups and levels; supporting and developing every employee to reach their potential; and creating an inclusive environment that allows team members to bring their true authentic selves to work. Job Description POSITION OVERVIEW: The Philadelphia 76ers are seeking a Senior Data Scientist to join the Basketball Research and Development team. This role supports decision-making across all departments in Basketball Operations. The ideal candidate combines a strong foundation in machine learning, predictive modeling, and data engineering. RESPONSIBILITIES INCLUDE, BUT ARE NOT LIMITED, TO THE BELOW: * Lead the development, validation, and deployment of models that evaluate and forecast player and team performance * Work with large, complex, and often noisy datasets (including player-tracking and biomechanical data) to generate actionable insights on the court * Collaborate with front office and coaching staff to translate analytical findings into decision support tools * Continuously iterate on existing models and infrastructure to improve performance and usability * Stay up to date with emerging techniques in data science, sports analytics, and related academic research QUALIFICATIONS: * 3+ years of professional experience in a data science, research, or quantitative modeling role * Expertise with modern machine learning techniques * Proficiency in at least one programming language, Python and SQL experience preferred * Familiarity with data engineering or cloud platforms (AWS, GCP, or Azure) is a plus * Self-motivated, proactive, and comfortable working on open-ended or ambiguous problems * Passion for basketball and for leveraging data to improve decision-making WORKING CONDITIONS: * Travel Requirements: May be required to travel occasionally, including between HBSE's various offices; trips may require air travel and/or overnight stay. * Work Environment: This position generally requires that work primarily be performed from the Penn Medicine/Philadelphia 76ers' office in Camden, NJ, and may require attendance at events taking place at the Xfinity Mobile Arena in Philadelphia, PA. COMPENSATION AND BENEFITS: The pay range for this position at commencement of employment is expected to be between $130,000 and $200,000/year. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including eligibility for bonus. This position may be governed by an employment agreement, on a form to be provided by the Company, with an expected initial term of two years, although all terms and conditions of any such employment agreement are subject to negotiation between the selected candidate and the Company. If, instead, this position is determined to be an "at will position", the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. The benefits package for the position may include the following, subject to the terms of the then-in-effect Company policies, plan documents and other eligibility criteria: * Medical/Dental/Vision/Flexible Spending Accounts * Pretax Transportation Benefit * Generous Parental Leave policies * 401K (with a company match after 1 year of service) * Generous Paid Time Off policies * 13 Paid Holidays * ½ Day Summer Fridays * Complimentary or Discounted Sports & Concert Tickets * On Site Fitness Rooms * Other League & Partner Discounts Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class. Skills & Requirements Qualifications OUR BENEFITS: * Medical/Dental/Vision/Flexible Spending Accounts * Pretax Transportation Benefit * Generous Parental Leave policies * 401K (with match after 1 year of service) * Generous Paid Time Off policies * 13 Paid Holidays * ½ Day Summer Fridays * Complimentary or Discounted Sports & Concert Tickets * On Site Fitness Rooms * Other League & Partner Discounts Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. View Us On LinkedIn | Sign up for Job Alerts

WHO WE ARE: Founded by Josh Harris and David Blitzer, Harris Blitzer Sports & Entertainment (HBSE) includes in its portfolio the Philadelphia 76ers, the New Jersey Devils, Prudential Center in Newark, N.J., the Delaware Blue Coats, the Utica Comets and a variety of other sports and entertainment properties. Led by some of the best and brightest minds in the industry, HBSE positions itself as a pioneering and innovative global sports and entertainment business enterprise. We also strive to positively impact the local communities in which we operate through the powerful platform of sports. HBSE offers an energetic work environment built on collaboration, growth and a quest to excel in everything we do. HBSE owns the NBA's Philadelphia 76ers, one of the most storied franchises in American sports, having won three championships led by some of the most iconic athletes in NBA history. As part of its portfolio, Prudential Center in downtown Newark, N.J. annually hosts more than 200 games, concerts, family shows and special events and is a top-5 ranked sports and entertainment venue in the U.S. by Pollstar and Billboard. It is home to the New Jersey Devils, a renowned NHL franchise with three Stanley Cup championships and a proud, passionate fan base. OUR COMMITMENT TO INCLUSION: At HBSE, we are dedicated to hiring the best talent from the communities where we live, work and play - across all groups and levels; supporting and developing every employee to reach their potential; and creating an inclusive environment that allows team members to bring their true authentic selves to work. POSITION OVERVIEW: The Philadelphia 76ers are seeking a Senior Data Scientist to join the Basketball Research and Development team. This role supports decision-making across all departments in Basketball Operations. The ideal candidate combines a strong foundation in machine learning, predictive modeling, and data engineering. RESPONSIBILITIES INCLUDE, BUT ARE NOT LIMITED, TO THE BELOW: * Lead the development, validation, and deployment of models that evaluate and forecast player and team performance * Work with large, complex, and often noisy datasets (including player-tracking and biomechanical data) to generate actionable insights on the court * Collaborate with front office and coaching staff to translate analytical findings into decision support tools * Continuously iterate on existing models and infrastructure to improve performance and usability * Stay up to date with emerging techniques in data science, sports analytics, and related academic research QUALIFICATIONS: * 3+ years of professional experience in a data science, research, or quantitative modeling role * Expertise with modern machine learning techniques * Proficiency in at least one programming language, Python and SQL experience preferred * Familiarity with data engineering or cloud platforms (AWS, GCP, or Azure) is a plus * Self-motivated, proactive, and comfortable working on open-ended or ambiguous problems * Passion for basketball and for leveraging data to improve decision-making WORKING CONDITIONS: * Travel Requirements: May be required to travel occasionally, including between HBSE's various offices; trips may require air travel and/or overnight stay. * Work Environment: This position generally requires that work primarily be performed from the Penn Medicine/Philadelphia 76ers' office in Camden, NJ, and may require attendance at events taking place at the Xfinity Mobile Arena in Philadelphia, PA. COMPENSATION AND BENEFITS: The pay range for this position at commencement of employment is expected to be between $130,000 and $200,000/year. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including eligibility for bonus. This position may be governed by an employment agreement, on a form to be provided by the Company, with an expected initial term of two years, although all terms and conditions of any such employment agreement are subject to negotiation between the selected candidate and the Company. If, instead, this position is determined to be an "at will position", the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. The benefits package for the position may include the following, subject to the terms of the then-in-effect Company policies, plan documents and other eligibility criteria: * Medical/Dental/Vision/Flexible Spending Accounts * Pretax Transportation Benefit * Generous Parental Leave policies * 401K (with a company match after 1 year of service) * Generous Paid Time Off policies * 13 Paid Holidays * ½ Day Summer Fridays * Complimentary or Discounted Sports & Concert Tickets * On Site Fitness Rooms * Other League & Partner Discounts Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

Description Background Information:Innovative Defense Technologies(IDT), provider of cutting-edge cloud-based integration, automated testing and data analysis for complex, mission-critical systems in the US Department of Defense (DOD), is seeking a Data Scientist/AI Engineer to be based in our Arlington, VA or Mount Laurel, NJ office. Leveraging advanced software automation, model-based systems engineering (MBSE), and AI-driven capabilities, IDT accelerates capability development, enhances operational readiness, and reduces lifecycle costs for the Department of Defense. The company is dedicated to transforming defense systems through innovation, efficiency, and mission-critical results. Overview:The Data Scientist position offers an engineer the opportunity to showcase their knowledge and talents as part of a collaborative team developing innovative AI and Data Analysis solutions for Innovative Defense Technologies. The responsibilities of this role include leading and supporting feasibility studies, building capabilities to discover explanatory features in high-dimensionality datasets, and developing and integrating state-of-the-art AI/ML solutions to support mission-critical software capabilities. All applicants must be able to obtain/maintain an active U.S. Security Clearance. Responsibilities Include: Develop solutions to deliver analytical and AI/ML capabilities from problem formulation to a productized, deployable, maintainable capability Leverage state-of-the-art theory and technologies to solve complex problems Establish and leverage Big Data frameworks to store, extract and analyze relevant data Develop software solutions by understanding customer requirements and program intent Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions Be responsible for solutions that meet software design, quality, and performance requirements Work with minimal supervision in a collaborative work environment to implement best-in-class solutions Minimum Required Qualifications: Bachelor's Degree in Statistics, Data Science, Computer Science, Math, or a quantitative field required; Master's Degree in Data Science or other technical field highly preferred 3+ years of experience in predictive modeling, data science and analysis Required Skills: Previous experience in a ML or data scientist role and a track record of building ML and Data Science capabilities Experience working with data mining and ML algorithms including decision trees, probability networks, association rules, clustering, and neural networks Experience in and knowledge of mathematical optimization techniques, non-linear programming, evolutionary and biologically-inspired optimization algorithms In-depth understanding and knowledge of statistical analysis, sampling, statistical learning theory, and Design of Experiments (DOE) Strong proficiency in Python Experience using ML libraries, such as scikit-learn, PyTorch, Keras, etc. Knowledge of data and information visualization principles and experience using related tools Preferred Skills: Strong software engineering background Skills with other programming languages, such as Julia, Java or C/C++ Demonstrated ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations Experience with application container platforms Familiarity with continuous integration/delivery tools (e.g. Jenkins) Familiarity with version control tools (e.g. Subversion, Git, etc.) Familiarity with VMware or other virtualization software Experience developing applications for DOD command and control systems Familiarity with Large Language Models (LLM) and LLM parameter tuning Familiarity with network science and graph theory Competencies: Solid analytical abilities, coupled with a strong sense of ownership, urgency, and drive Attention to detail Strong sense of intellectual curiosity and desire to learn Initiative, creativity, reliability, teamwork Ability to deal well with ambiguity, prioritize needs, and deliver results in a dynamic environment Price range: $90,000 - $150,000 or $114,000 - $184,000*Pursuant to New Jersey Senate Bill 2310, IDT is required to disclose the “pay scale” or “pay range” associated with a job posting. Notably, however, this amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate's experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. Click here for additional information about New Jersey Senate Bill 2310. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience. EEO Statement:IDT is an Equal Opportunity employer.

About the Role As a Data Solutions Consultant, you will play a key role supporting multiple initiatives for enterprise and global customers. This role sits at the intersection of business, data, and technology, working closely with client stakeholders to turn complex requirements into scalable, cloud-based data solutions. You'll be responsible for gathering business requirements, defining and implementing data models, designing data pipelines, and ensuring insights are delivered to stakeholders in a clear, efficient, and impactful way. The work is performed in a modern cloud environment, leveraging AI-driven tools to improve productivity and accelerate outcomes. Key Responsibilities Partner with client stakeholders to gather, clarify, and translate business requirements Define and implement robust data models using a Medallion architecture Design and develop scalable, cloud-based data pipelines Build optimized, user-friendly reporting and analytics solutions Ensure data is accessible, reliable, and actionable for business stakeholders Contribute to innovative, AI-enabled approaches to data and analytics delivery Requirements Bachelor's degree in Computer Science, Engineering, or a related field 2+ years of hands-on experience delivering Data & Analytics projects in cloud environments Strong communication and collaboration skills with both technical and business stakeholders Strong problem-solving and analytical capabilities Proven experience designing and implementing data models in cloud-based environments (AWS, Azure, or GCP) Experience using generative AI tools to improve productivity and extract insights Strong SQL skills and solid understanding of database management systems Preferred Qualifications Master's degree in Computer Science, Engineering, or a related field Cloud or data engineering certifications Experience developing ETL pipelines using dbt

Comcast Business offers a suite of Connectivity, Communications, Networking, Cybersecurity, Wireless, and Managed Solutions to help global organizations of all sizes prepare for what's next. Powered by the nation's largest Gig-speed broadband network and backed by 24/7 customer support, Comcast Business is the nation's largest technology provider to small businesses and one of the leading service providers to the Enterprise market. Comcast Business has been consistently recognized by industry analysts and associations as a leader and innovator, and one of the fastest growing providers of Ethernet services. Job Summary The Sr. Data Intelligence Engineer will be responsible for transforming raw data into actionable insights that drive strategic decisions. This role focuses on identifying and analyzing meaningful data, integrating diverse sources, and delivering accurate, visually compelling analytics to support product performance, usage trends, and feature adoption. This is a hands-on role that blends data engineering, systems integration, and business insight. Perfect for someone who thrives on turning raw data into actionable intelligence. Job Description Identify and define key data elements for tracking product performance, usage trends, and feature utilization. Access and integrate data from multiple sources, including databases, third-party applications, and SaaS platforms. Correlate data across systems to provide accurate and comprehensive business insights. Design and develop dashboards, visualizations, and reports that enable data-driven decision-making. Build forecast models to predict performance and utilization trends. Detect inconsistencies and anomalies by correlating data from different sources. Ensure data accuracy, integrity, and consistency across all reports and dashboards. Document data models, workflows, and integration processes for transparency and scalability. Technical Skills Strong experience working with structured and unstructured data (CSV, JSON, XML, CDR) Experience with ELK to retrieve unstructured data Proficiency in SQL and database technologies (e.g., PostgreSQL and MySQL) Experience with API integration and data extraction from third party applications Experience with data visualization tools (e.g., Kibana and Grafana) Familiarity with data normalization, data conversion, and schema alignment Experience with scripting languages such as Python or Bash Understanding of network protocols and service monitoring tools is a plus Professional Skills Strong analytical and problem-solving abilities with attention to detail Ability to work independently and manage multiple priorities in a fast-paced environment Excellent communication skills for documenting processes and presenting findings Collaborative team player with a proactive and solution-oriented mindset Experience & Education Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field-or equivalent work experience 3+ years of experience in data engineering, analytics, or a related role Experience working with telecom or VoIP data is highly preferred Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Skills Analytics, Database Technologies, Data Engineering, Data Requirements, Data Visualization, Structured Data, Structured Query Language (SQL) Compensation Primary Location Pay Range: $128,122.89 - $192,184.33 Comcast intends to offer the selected candidate base pay dependent on job-related, non-discriminatory factors such as experience. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later. Education Bachelor's DegreeWhile possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Certifications (if applicable) Relevant Work Experience 7-10 YearsComcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

Hours: 40 Pay Details: $74,000 - $127,000 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Line of Business: Technology Solutions Job Description: Overview: The Data Engineer II provides a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment and management, data provenance and lineage, and other specialized data management functions. Depth & Scope: Advanced knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures, including how they impact other technology areas such as Architecture or Infrastructure Performs complex technical tasks independently Advanced knowledge of TD applications, systems, networks, innovation, design activities, business, organization, best practices, and standards Designs and develops to meet business and technical requirements; analyzes, adapts, integrates, codes, tests, debugs, and executes Uses and evolves established patterns to solve complex problems; leads the development of new patterns where necessary May be recognized as a subject matter expert in areas directly related to key accountabilities Education & Experience: Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience 3+ years of relevant experience Preferred qualifications: Experience with ETL and data analysis knowledge of upstream data, including knowledge provided through data profiling and data quality reporting Customer Accountabilities: Performs data analysis and assesses data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products Maintains expert knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadata Supports the acquisition and ingestion of data Articulates complex, large scale, and high impact technical design and development details to non-technical business partners Elicits, analyzes, and understands business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life-cycle management, governance, lineage, and metadata Ensures data is maintained in compliance with enterprise data standards, policies, and guidelines Develops and maintains complex data models using industry standard modeling tools Develops and maintains complex ETL jobs and frameworks using the Bank's standard tools Provides support to the development and testing teams to resolve data issues, including escalation support on complex issues Supports partners and stakeholders in interpreting and analyzing data Builds effective working relationships within own pod and across partner teams to encourage collaboration on all pod deliverables Shareholder Accountabilities: Coordinates with technology work teams such as ITS, ARE, Architecture, Enterprise Protect etc. to ensure overall delivery success Supports the QA team with data analysis/investigations of complex issues/ test cases as part of SIT/UAT/PAT testing Provides oversight on post implementation activities during the warranty period Executes & approves code check-in/ check-out into source code repository as part of source code management Works closely with ITS/ ARE teams to support code packaging & deployment (CI & CD) into higher environments Is the lead participant in the design & architecture reviews or the application Raises service-now requests and works with the change management team to support release management activities Leads data engineering initiatives and capabilities, data governance principles and how they apply across the organization Ensures metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes Adheres & contributes towards standard security coding practices to ensure application is free of most common coding vulnerabilities Ensures technical decisions, technical risks and lessons learned are identified, clearly documented and enhancements are accordingly implemented Protects the interests of the organization - identifies and manages risks, and escalates non-standard, high-risk activities as necessary Adheres to internal policies/procedures and applicable regulatory guidelines Keeps current on emerging trends/ developments and grow knowledge of the business, related tools, and techniques Enables team members by sharing knowledge and leveraging engineering best practices Employee/Team Accountabilities: Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/ points of interest Provides thought leadership and/or industry knowledge for Data engineering best practices and participates in knowledge transfer within the team and business unit Keeps current on emerging trends/ developments and grows knowledge of the business, related tools and techniques Participates in personal performance management and development activities, including cross training within own team Keeps others informed and up-to-date about the status / progress of projects and/or all relevant or useful information related to day-to-day activities Actively mentors and enables team members by sharing knowledge and leveraging engineering best practices Supports the team by providing guidance and proactively identifying and resolving issues Leads, motivates and develops relationships with internal and external business partners / stakeholders to develop productive working relationships Contributes to a fair, positive and equitable environment that supports a diverse workforce Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally Physical Requirements: Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100% Domestic Travel - Occasional International Travel - Never Performing sedentary work - Continuous Performing multiple tasks - Continuous Operating standard office equipment - Continuous Responding quickly to sounds - Occasional Sitting - Continuous Standing - Occasional Walking - Occasional Moving safely in confined spaces - Occasional Lifting/Carrying (under 25 lbs.) - Occasional Lifting/Carrying (over 25 lbs.) - Never Squatting - Occasional Bending - Occasional Kneeling - Never Crawling - Never Climbing - Never Reaching overhead - Never Reaching forward - Occasional Pushing - Never Pulling - Never Twisting - Never Concentrating for long periods of time - Continuous Applying common sense to deal with problems involving standardized situations - Continuous Reading, writing and comprehending instructions - Continuous Adding, subtracting, multiplying and dividing - Continuous The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes. Who We Are: TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you. Our Total Rewards Package Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more Additional Information: We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home. Colleague Development If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals. Training & Onboarding We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role. Interview Process We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call. Accommodation TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law. If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at ***************. Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.

At NFI, we offer innovative, integrated, and customized solutions that span the entire supply chain. Whatever our customer's challenge is, we have the knowledge, technology, scale, and commitment to help them solve it. It's simply what we do. Are you passionate about transforming data into insights and enabling intelligent decision-making at scale? Do you thrive in modern cloud environments and want to help shape the future of data architecture for AI and machine learning? Join our innovative Data & Analytics team as a Senior Data Engineer, where you'll play a key role in designing and implementing enterprise-grade data solutions in our Azure ecosystem. You'll build robust, scalable data pipelines and dimensional models in our Synapse Enterprise Data Warehouse (EDW), while also helping lay the foundation for AI/ML integration using Azure's cutting-edge AI services. This is your opportunity to make an impact at the intersection of data engineering and applied intelligence - solving complex challenges today while architecting for the future. Responsibilities * 5+ years of experience in data engineering or related fields, with a strong focus on Azure Data Services, including: * Azure Synapse Analytics * Azure Data Factory * Azure Data Lake Storage (Gen2) * Azure Databricks * Experience working alongside Data Scientists to support end-to-end machine learning workflows in Azure Machine Learning, including: * Feature store integration * Experiment tracking and model versioning * Model deployment pipelines * Deep experience in building dimensional and star-schema models for analytical workloads. * Proficient in T-SQL and performance tuning of large-scale data queries. * Proven track record of building and managing robust ETL/ELT pipelines in production environments. * Understanding of real-time and batch data ingestion methods and tools. * Familiarity with data architecture frameworks, including lakehouse, data mesh, and data vault modeling (optional but preferred). * Knowledge of Python, PySpark, or other scripting languages used in data science pipelines is a plus. * Experience with Azure Cognitive Services or integrating external ML APIs is a strong advantage. * Strong foundation in Git-based workflows, DevOps, and CI/CD for data and ML pipelines. Qualifications * BA/BS degree strongly preferred, will consider comparable work experience. * 6-8 years of relevant experience is preferred. * Understands and makes well-reasoned decisions and tradeoffs within their area of expertise. * Demonstrates knowledge of industry trends and regularly seeks external expertise to accelerate their learning. * Clarifies success metrics and ties efforts toward delivering business value. * Emerging understanding of broader organizational context and goals. * An understanding of impact and success metrics helps to focus their efforts, as well as those of their function. We are excited to share that the base salary range for this position is $104,530.40 - $139,381.84. This position is also eligible for an annual discretionary bonus, targeted at 3%. NFI takes into consideration applicants' qualifications, experience, education, and geographic location when determining a starting rate of pay. Employees are also eligible for a robust benefit program, which includes Medical, Dental, Vision, Prescription Drug Coverage, 401k Plan, Wellness Program, Life Insurance, Paid Time Off, and Paid Parental Leave, among other benefit plan options. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c) LA County Applicants: The Company will consider qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local laws. Profit Center PC-1010 (US)

Title: AI/ML Data Engineer Duration: 12+ Months Contract About the Role We are seeking a highly skilled and motivated AI Engineer to join our data and analytics team. This role is ideal for someone passionate about building intelligent data-driven solutions using cutting-edge technologies like Python, PySpark, Microsoft Fabric, Power BI, and SQL. You will play a key role in designing, developing, and deploying scalable AI models and data pipelines that power business insights and automation. Responsibilities: Design and implement AI/ML models using Python and PySpark for large-scale data processing Build and optimize data pipelines using Microsoft Fabric (Data Factory, Synapse, Lakehouse) Develop interactive dashboards and reports in Power BI to visualize model outputs and KPIs Write efficient SQL queries for data extraction, transformation, and analysis Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions Deploy and monitor AI models in production environments Ensure data quality, governance, and compliance across all stages of the pipeline Preferred Qualifications Experience with Azure Machine Learning, Databricks, or similar platforms Knowledge of data governance frameworks and security best practices Exposure to LLMs, NLP, or generative AI tools is a plus Qualifications Required Skills & Qualifications 3+ years of experience in AI/ML engineering or data engineering roles Strong proficiency in Python for data science and machine learning Hands-on experience with PySpark for distributed data processing Solid understanding of Microsoft Fabric components (Data Factory, Synapse, Lakehouse) Expertise in Power BI for data visualization and storytelling Advanced SQL skills for data manipulation and performance tuning Familiarity with MLOps practices and cloud platforms (Azure preferred) Excellent problem-solving and communication skills Additional Information

Job DescriptionSalary: A3 Technology, Inc. is seeking a Computer Scientist to support the FAAs Terminal Flight Data Manager (TFDM) program and its integration with the Flight Data Input/Output (FDIO) system. TFDM is the tower modernization initiative designed to replace legacy, paper-based and stand-alone systems with integrated, digital tools that improve flight data management, surface traffic efficiency, and collaborative decision-making. The program consolidates multiple older systems into a modern, electronic environment. FDIO serves as a critical interface within this ecosystem, enabling controllers and other stakeholders to access real-time flight plan information from ERAM and other core FAA systems. Together, TFDM and FDIO provide more accurate data sharing, improved departure sequencing, and enhanced situational awareness to reduce delays, save fuel, and improve the safety and predictability of air traffic operations. Responsibilities: Develop, manage, and validate site-specific adaptation data. Configure TFDM system parameters for local operations, coordinating with FAA facilities and airports, performing adaptation testing and validation, and maintaining version-controlled configuration records to ensure operational accuracy and interoperability. Develop, manage, and validate site adaptation data tailored to each TFDM deployment location (e.g., airports, TRACONs). Ensure configurations accurately reflect local airspace, surface operations, runway/taxiway layouts, and stakeholder operational procedures. Collect and analyze local site data such as flight schedules, runway configurations, surveillance inputs, and facility-specific workflows. Coordinate with local air traffic control facilities and airport authorities to obtain accurate, up-to-date operational data. Customize TFDM system parameters for surface metering, departure sequencing, runway assignments, and flight data exchange to reflect the unique needs of each site. Support the calibration of algorithms to optimize surface traffic management and throughput. Use FAA-authorized adaptation tools and software to build, test, and deploy configuration files. Maintain version control and configuration management practices to ensure integrity and traceability of adaptation data. Ensure consistency and compatibility of adaptation data with interfacing systems such as STARS, ERAM, TBFM, and surface surveillance systems. Coordinate interface configurations to support seamless data exchange and operational interoperability. Participate in Factory Acceptance Testing (FAT), Site Acceptance Testing (SAT), and Dry Runs to validate the performance of site-specific adaptations. Conduct pre- and post-deployment validation to ensure the system functions as intended under local operating conditions. Collaborate with FAA site leads, facility personnel, airline operators, and airport representatives to define operational needs and validate adaptation outputs. Support user feedback collection and incorporate changes into adaptation updates. Prepare technical documentation including adaptation guides, site-specific configuration summaries, and version release notes. Maintain records of adaptation changes, rationale, and stakeholder approvals in accordance with FAA change management policies. Provide on-site or remote support during TFDM system transition, ensuring real-time resolution of adaptation-related issues. Assist controllers and technical staff in understanding adaptation elements during the go-live process. Recommend updates to the adaptation process based on lessons learned, system feedback, and evolving site requirements. Monitor deployed system performance and propose adaptation refinements to enhance operational effectiveness. Skills Required: Detail oriented, independent, self-motivated, and a proactive team member. Skills Preferred: Experience with FAA NAS or Mission Support systems. Education: Bachelor's degree in a technical field (engineering, math, physics, chemistry, biology, meteorology/earth sciences, aeronautical science, computer science) and 10-15 years relevant experience. Additionally, US Citizenship or documented proof of eligibility to work in the US is a must. Upon receiving a conditional offer of employment, candidates will undergo a Government investigation and must meet eligibility requirements for Government clearance. Verification of past employment, education and references is also required. It is imperative that candidates be either a US citizen or a current green card holder with the last 3 consecutive years as a resident of the US. The salary range for positions is $50,000 to $175,000. This range is provided as a general guideline and should not be interpreted as a guarantee of compensation. Actual salary offers will be determined based on a variety of factors, including but not limited to the specific responsibilities of the position, the candidates education, experience, location, knowledge, skills, and abilities. In addition, compensation may be influenced by applicable Federal Government contract labor categories and established contract wage rates. At A3 Technology, Inc., we take pride in being an Equal Opportunity Employer (EEO) and Affirmative Action (AA) employer. We're committed to considering all qualified candidates for employment without regard to race, religion, color, sex, sexual orientation, gender identity, age, protected veteran status, disability, national origin, genetic information or any other protected status.

Requisition Title :Lead Data Engineer with PySpark ( 1 Day Onsite) Visa Status: GC/USC/H4 EAD Client : TD Bank Duration: Full Time /C2H Salary pay rate to candidates : $49-$56/hr W2 Experience : 12+ Years Primary Tech skills = Pyspark, Databricks (Hands-on experience mandatory) Secondary Tech skills = Azure, SAS, Synapse, Databricks MUST HAVE SKILLS : Techno-Managerial covers the entire life cycle of data warehouse and data cloud environment with experience in building data platforms development. Technical co-ordination with Product Group Technical Lead, Architecture team, Data engineering team, BSA, and QE Team for the assigned projects. Ability to drive more than one project in parallel. Experience in building end to end architecture for Data Lakes, Data Warehouses and Data Marts Experience of DWH, Data Integration, Cloud, Architecture, Design, Data Modelling Hands-on experience in Pyspark is a must. Experience working with structured and unstructured data. Extensive knowledge of ETL and Data Warehousing concepts, strategies, methodologies Experience in data ingestion, preparation, integration, and operationalization techniques in optimally addressing the data requirements. Experience in relational data processing technology like MS SQL, Delta Lake, Spark SQL, SQL Server Experience with Orchestration tools and GitHub Experience to own end-to-end development, including coding, testing, debugging and deployment. Must be team oriented with strong communication, collaboration, prioritization, and adaptability skill Need to be an individual performer as well as a Lead.

Insight Global is seeking a Data Engineer for a long-term contract opportunity with a large Banking client. This person will leverage various statistical and advanced techniques to identify emerging risks, patterns and typologies to predict financial crime activities and risks. This team develops and maintains scalable data models to support the analytics framework, and provide actionable insight to multiple departments. They will also be responsible for all project/release testing (e.g. integration, business acceptance, performance, operability, deployment verification), and oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope. This role is focused on building data models for Analytics purposes, and help solve complex business issues relative to Financial Crimes. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements - 5+ years' Data Engineering and Data Modeling experience - Python/PySpark Experience - Databricks experience - Experience building Data Models for Reporting/Analytics purposes - Ability to explain business problems solved by Data Models - Expert SQL level experience - Banking experience - Experience supporting Financial Crimes division

Hours: 40 Pay Details: $74,000 - $127,000 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Line of Business: Technology Solutions Job Description: Overview: The Data Engineer II provides a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment and management, data provenance and lineage, and other specialized data management functions. Depth & Scope: * Advanced knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures, including how they impact other technology areas such as Architecture or Infrastructure * Performs complex technical tasks independently * Advanced knowledge of TD applications, systems, networks, innovation, design activities, business, organization, best practices, and standards * Designs and develops to meet business and technical requirements; analyzes, adapts, integrates, codes, tests, debugs, and executes * Uses and evolves established patterns to solve complex problems; leads the development of new patterns where necessary * May be recognized as a subject matter expert in areas directly related to key accountabilities Education & Experience: * Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience * 3+ years of relevant experience Preferred qualifications: * Experience with ETL and data analysis * knowledge of upstream data, including knowledge provided through data profiling and data quality reporting Customer Accountabilities: * Performs data analysis and assesses data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products * Maintains expert knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadata * Supports the acquisition and ingestion of data * Articulates complex, large scale, and high impact technical design and development details to non-technical business partners * Elicits, analyzes, and understands business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life-cycle management, governance, lineage, and metadata * Ensures data is maintained in compliance with enterprise data standards, policies, and guidelines * Develops and maintains complex data models using industry standard modeling tools * Develops and maintains complex ETL jobs and frameworks using the Bank's standard tools * Provides support to the development and testing teams to resolve data issues, including escalation support on complex issues * Supports partners and stakeholders in interpreting and analyzing data * Builds effective working relationships within own pod and across partner teams to encourage collaboration on all pod deliverables Shareholder Accountabilities: * Coordinates with technology work teams such as ITS, ARE, Architecture, Enterprise Protect etc. to ensure overall delivery success * Supports the QA team with data analysis/investigations of complex issues/ test cases as part of SIT/UAT/PAT testing * Provides oversight on post implementation activities during the warranty period * Executes & approves code check-in/ check-out into source code repository as part of source code management * Works closely with ITS/ ARE teams to support code packaging & deployment (CI & CD) into higher environments * Is the lead participant in the design & architecture reviews or the application * Raises service-now requests and works with the change management team to support release management activities * Leads data engineering initiatives and capabilities, data governance principles and how they apply across the organization * Ensures metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes * Adheres & contributes towards standard security coding practices to ensure application is free of most common coding vulnerabilities * Ensures technical decisions, technical risks and lessons learned are identified, clearly documented and enhancements are accordingly implemented * Protects the interests of the organization - identifies and manages risks, and escalates non-standard, high-risk activities as necessary * Adheres to internal policies/procedures and applicable regulatory guidelines * Keeps current on emerging trends/ developments and grow knowledge of the business, related tools, and techniques * Enables team members by sharing knowledge and leveraging engineering best practices Employee/Team Accountabilities: * Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/ points of interest * Provides thought leadership and/or industry knowledge for Data engineering best practices and participates in knowledge transfer within the team and business unit * Keeps current on emerging trends/ developments and grows knowledge of the business, related tools and techniques * Participates in personal performance management and development activities, including cross training within own team * Keeps others informed and up-to-date about the status / progress of projects and/or all relevant or useful information related to day-to-day activities * Actively mentors and enables team members by sharing knowledge and leveraging engineering best practices * Supports the team by providing guidance and proactively identifying and resolving issues * Leads, motivates and develops relationships with internal and external business partners / stakeholders to develop productive working relationships * Contributes to a fair, positive and equitable environment that supports a diverse workforce * Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally Physical Requirements: Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100% * Domestic Travel - Occasional * International Travel - Never * Performing sedentary work - Continuous * Performing multiple tasks - Continuous * Operating standard office equipment - Continuous * Responding quickly to sounds - Occasional * Sitting - Continuous * Standing - Occasional * Walking - Occasional * Moving safely in confined spaces - Occasional * Lifting/Carrying (under 25 lbs.) - Occasional * Lifting/Carrying (over 25 lbs.) - Never * Squatting - Occasional * Bending - Occasional * Kneeling - Never * Crawling - Never * Climbing - Never * Reaching overhead - Never * Reaching forward - Occasional * Pushing - Never * Pulling - Never * Twisting - Never * Concentrating for long periods of time - Continuous * Applying common sense to deal with problems involving standardized situations - Continuous * Reading, writing and comprehending instructions - Continuous * Adding, subtracting, multiplying and dividing - Continuous The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes. Who We Are: TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you. Our Total Rewards Package Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more Additional Information: We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home. Colleague Development If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals. Training & Onboarding We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role. Interview Process We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call. Accommodation TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law. If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at ***************. Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.

Please only apply to this position if you have the ability to work full-time from Collingswood, NJ, are a US Citizen, have your Green Card or Long Term Visa. SMARTER AGENT'S GOAL IS TO BUILD THE BEST DATA TEAM IN THE REAL ESTATE INDUSTRY Smarter Agent is one of the most widely used software platforms in the real estate industry and is integrated into the operations of many of the premier organizations in the residential real estate market. Our success is built on our expanding data capabilities and data services. We now have one of the largest real estate data services platforms in North America. With Smarter Agent, our customers do not have to overhaul their legacy software systems or keep up with fast paced new technologies in order to have a source of truth made up of accurate real estate data and continuous innovation. Our Data and Technology Teams are Best in Class in the Real Estate Industry Smarter Agent has a long history of innovation in the real estate markets and has built an industry leading team that has goals to dominate the real estate data market with their SAAS platform. Members of Smarter Agent have been granted US patents for location based mobile search, branding and advertising, with 5 granted patents issued since May 2013 and 2 granted in 2017. Smarter Agent was the first to introduce a cascading platform for mobile app delivery. With this app creation and linking technology, any global brand with a local presence has a way to maintain design and business rule control while providing personally branded apps to all their agents across the country or globe. Smarter Agent's work with data over the years has morphed the company into a leading real estate data firm creating services to support global and regional real estate organizations. Smarter Agent Headquarters Overview The Smarter Agent team is an extremely successful tech start-up based in the retro cool South Jersey gem of Collingswood, New Jersey. Our new office is on the second floor of the building we designed is 10 minutes outside Philadelphia, Pennsylvania via the PATCO commuter light rail - we have free parking as well. We have a flexible work and time-off schedule and provide health benefits. Smarter Agent fosters a team environment where you can expand your skill set, gain leadership skills and grow your career. Job Description We're looking for Mid-Level and Senior Level Data Engineers to help us transform how consumers interact with real estate data. Smarter Agent has every residential listing in North America updating multiple times per day on behalf of our real estate customers. You will manage and create systems to utilize these data sets and drive innovation within our SAAS Platform. Recommend and implement data processing tools and technologies to keep us at the forefront of real estate data engineering, data science, data architecture and evolve our data stack. Extract, transform and load data pipelines from end-to-end. Create, develop and document data mapping rules. Perform data cleansing and transformation of data. Write specifications from which conversion programs will be written. Collaborate with subject matter experts to ensure that the specifications meet the business and system requirements. Utilize tools and programs to analyze and convert data to a standardized format. Recommend and implement data processing tools and technologies to keep us at the forefront of real estate data engineering and data science. Develop continuous process improvements. Identify and fix “data bugs” and improve the overall quality of information. Work, collaborate, mentor and provide leadership to members within our team. Qualifications You MUST be passionate about solving data challenges through software and technology. You MUST be a highly analytical, results driven individual, with high attention to detail and strong problem solving and critical thinking skills. The Mid-Level and Senior Data Engineer MUST have 3-10+ years of proven experience in areas including software engineering, data engineering and data architecture. You MUST have prior experience in areas or similar technologies including SQL, Oracle, PostGres, DynamoDB, Firehose, MongoDB, Elastic Search, Neo4j and REST APIs. You MUST have prior Amazon Web Services (AWS) experience as well as worked in scripting languages like Python to aggregate, gather, and manipulate data. You MUST understand databases, data conversion and data cleansing methods. You should have prior experience parsing and mapping data. You should have advanced Microsoft Excel experience. You should have excellent verbal and written communication skills. You will get big points if you have worked with Multiple Listing Service (MLS) data and standards and real estate public record data. Additional Information Process for Interviewing Please submit your resume and LinkedIn profile by clicking “I'm Interested” and why you feel that you are a good fit for the position. Phone screen by Michael C. Bertoni, Director of Recruiting. Smarter Agent Online Assessment to see if cognitive and cultural fit for leading start-up. 1 Onsite Interview with Founder/CEO, Founder/CTO, technical team/leads with follow up software code review. Offer All the above can be completed expediently after completion of the online assessment.

Company DescriptionJobs for Humanity is partnering with Capital One to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located. Company Name: Capital One Job DescriptionLocations: VA - McLean, United States of America, McLean, VirginiaDistinguished Engineer - Data Architecture Come join my teams in the Enterprise Data & Machine Learning group to build a highly scalable, well governed, data ecosystem that scales across 1000's of AWS accounts, tens of thousands of database instances, and millions of files stored across enterprise. You will also have the opportunity to shape the future of the platform that exchanges terabytes of data daily between Capital One and partners. Distinguished Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and inner source solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of Data Architecture or Enterprise Architecture experience At least 5 years of experience in design patterns At least 5 years of AWS cloud experience At least 3 years of experience building data products At least 3 years of experience with enterprise level data governance Preferred Qualifications: Masters' Degree 8+ years of data governance, data access, data lineage, data monitoring, and security controls experience 7+ years of experience developing in Python, Java, Scala or Node 6+ years of experience dealing with large number of cross AWS account communications 5+ years of experience in software architecture 3+ years of rich experience in modern database technology evaluation and data modeling 3+ years of experience in building highly resilient distributed data systems 3+ years in data engineering including experience in distributed data pipelines and test data engineering 3+ years of experience in Agile practices 1+ year of experience with developing strategy and implementing target architectures AWS Solution Architect - Professional or AWS Certified Data Analytics - Specialty certified Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $269,400 - $307,500 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Full-time Description The Data Engineer is responsible for migrating customer's data from their legacy software applications stored in databases, reports, and other forms of data file structures to the client's new Edmunds GovTech ERP system. This position will regularly engage with our customers and serve as a critical role on the project teams by developing conversion templates and conversion tools using Java, Python, SQL and other programming languages. $60,000 - $75,000 (Employer est) ROLE AND RESPONSIBILITIES WITH ESSENTIAL FUNCTIONS Develop data conversion programs using Java and other related technologies. Work with internal team members on mapping client's legacy source data. Validate that data conversions meet customer expectations and requirements. Utilize a variety of tools and programs to facilitate the data conversion process. Work on multiple project teams and handle competing priorities effectively. Deliver high-quality customer service. Requirements QUALIFICATIONS AND EDUCATION REQUIREMENTS Bachelor's Degree in MIS, Computer Science, Mathematics, Physics, or other degree that would provide the necessary skills to effectively develop programs, or equivalent work experience. 1-3 years of experience in professional services, client implementation, and/or data migrations. Working knowledge of multiple system/database platforms (MSSQL, Oracle, AS400, Windows, etc.) is a plus. Knowledge of generalized business practices, accounting reports, financial reports, and payroll reports is a plus. Working knowledge and abilities in programming using Java, Python, SQL, and other related technologies. Salary Description $60,000 - $75,000 Based on Experience

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen. WHO WE ARE:Founded by Josh Harris and David Blitzer, Harris Blitzer Sports & Entertainment (HBSE) includes in its portfolio the Philadelphia 76ers, the New Jersey Devils, Prudential Center in Newark, N.J., the Delaware Blue Coats, the Utica Comets and a variety of other sports and entertainment properties. Led by some of the best and brightest minds in the industry, HBSE positions itself as a pioneering and innovative global sports and entertainment business enterprise. We also strive to positively impact the local communities in which we operate through the powerful platform of sports. HBSE offers an energetic work environment built on collaboration, growth and a quest to excel in everything we do. HBSE owns the NBA's Philadelphia 76ers, one of the most storied franchises in American sports, having won three championships led by some of the most iconic athletes in NBA history. As part of its portfolio, Prudential Center in downtown Newark, N.J. annually hosts more than 200 games, concerts, family shows and special events and is a top-5 ranked sports and entertainment venue in the U.S. by Pollstar and Billboard. It is home to the New Jersey Devils, a renowned NHL franchise with three Stanley Cup championships and a proud, passionate fan base. OUR COMMITMENT TO INCLUSION:At HBSE, we are dedicated to hiring the best talent from the communities where we live, work and play - across all groups and levels; supporting and developing every employee to reach their potential; and creating an inclusive environment that allows team members to bring their true authentic selves to work. POSITION OVERVIEW:The Philadelphia 76ers are seeking a Senior Data Scientist to join the Basketball Research and Development team. This role supports decision-making across all departments in Basketball Operations. The ideal candidate combines a strong foundation in machine learning, predictive modeling, and data engineering. RESPONSIBILITIES INCLUDE, BUT ARE NOT LIMITED, TO THE BELOW: Lead the development, validation, and deployment of models that evaluate and forecast player and team performance Work with large, complex, and often noisy datasets (including player-tracking and biomechanical data) to generate actionable insights on the court Collaborate with front office and coaching staff to translate analytical findings into decision support tools Continuously iterate on existing models and infrastructure to improve performance and usability Stay up to date with emerging techniques in data science, sports analytics, and related academic research QUALIFICATIONS: 3+ years of professional experience in a data science, research, or quantitative modeling role Expertise with modern machine learning techniques Proficiency in at least one programming language, Python and SQL experience preferred Familiarity with data engineering or cloud platforms (AWS, GCP, or Azure) is a plus Self-motivated, proactive, and comfortable working on open-ended or ambiguous problems Passion for basketball and for leveraging data to improve decision-making WORKING CONDITIONS: Travel Requirements: May be required to travel occasionally, including between HBSE's various offices; trips may require air travel and/or overnight stay. Work Environment: This position generally requires that work primarily be performed from the Penn Medicine/Philadelphia 76ers' office in Camden, NJ, and may require attendance at events taking place at the Xfinity Mobile Arena in Philadelphia, PA. COMPENSATION AND BENEFITS:The pay range for this position at commencement of employment is expected to be between $130,000 and $200,000/year. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including eligibility for bonus. This position may be governed by an employment agreement, on a form to be provided by the Company, with an expected initial term of two years, although all terms and conditions of any such employment agreement are subject to negotiation between the selected candidate and the Company. If, instead, this position is determined to be an “at will position”, the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. The benefits package for the position may include the following, subject to the terms of the then-in-effect Company policies, plan documents and other eligibility criteria: Medical/Dental/Vision/Flexible Spending Accounts Pretax Transportation Benefit Generous Parental Leave policies 401K (with a company match after 1 year of service) Generous Paid Time Off policies 13 Paid Holidays ½ Day Summer Fridays Complimentary or Discounted Sports & Concert Tickets On Site Fitness Rooms Other League & Partner Discounts Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

Job Description The Philadelphia 76ers are seeking a Senior Data Scientist to join the Basketball Research and Development team. This role supports decision-making across all departments in Basketball Operations. The ideal candidate combines a strong foundation in machine learning, predictive modeling, and data engineering. RESPONSIBILITIES INCLUDE, BUT ARE NOT LIMITED, TO THE BELOW: Lead the development, validation, and deployment of models that evaluate and forecast player and team performance Work with large, complex, and often noisy datasets (including player-tracking and biomechanical data) to generate actionable insights on the court Collaborate with front office and coaching staff to translate analytical findings into decision support tools Continuously iterate on existing models and infrastructure to improve performance and usability Stay up to date with emerging techniques in data science, sports analytics, and related academic research QUALIFICATIONS: 3+ years of professional experience in a data science, research, or quantitative modeling role Expertise with modern machine learning techniques Proficiency in at least one programming language, Python and SQL experience preferred Familiarity with data engineering or cloud platforms (AWS, GCP, or Azure) is a plus Self-motivated, proactive, and comfortable working on open-ended or ambiguous problems Passion for basketball and for leveraging data to improve decision-making WORKING CONDITIONS: Travel Requirements: May be required to travel occasionally, including between HBSE's various offices; trips may require air travel and/or overnight stay. Work Environment: This position generally requires that work primarily be performed from the Penn Medicine/Philadelphia 76ers' office in Camden, NJ, and may require attendance at events taking place at the Xfinity Mobile Arena in Philadelphia, PA. COMPENSATION AND BENEFITS: The pay range for this position at commencement of employment is expected to be between $130,000 and $200,000/year. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including eligibility for bonus. This position may be governed by an employment agreement, on a form to be provided by the Company, with an expected initial term of two years, although all terms and conditions of any such employment agreement are subject to negotiation between the selected candidate and the Company. If, instead, this position is determined to be an “at will position”, the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. The benefits package for the position may include the following, subject to the terms of the then-in-effect Company policies, plan documents and other eligibility criteria: Medical/Dental/Vision/Flexible Spending Accounts Pretax Transportation Benefit Generous Parental Leave policies 401K (with a company match after 1 year of service) Generous Paid Time Off policies 13 Paid Holidays ½ Day Summer Fridays Complimentary or Discounted Sports & Concert Tickets On Site Fitness Rooms Other League & Partner Discounts Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

Mount Laurel, New Jersey, United States of America **Hours:** 40 **Pay Details:** $74,000 - $127,000 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. **Line of Business:** Technology Solutions **Job Description:** **Overview:** The Data Engineer II provides a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment and management, data provenance and lineage, and other specialized data management functions. **Depth & Scope:** + Advanced knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures, including how they impact other technology areas such as Architecture or Infrastructure + Performs complex technical tasks independently + Advanced knowledge of TD applications, systems, networks, innovation, design activities, business, organization, best practices, and standards + Designs and develops to meet business and technical requirements; analyzes, adapts, integrates, codes, tests, debugs, and executes + Uses and evolves established patterns to solve complex problems; leads the development of new patterns where necessary + May be recognized as a subject matter expert in areas directly related to key accountabilities **Education & Experience:** + Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience + 3+ years of relevant experience **Preferred qualifications:** + Experience with ETL and data analysis + knowledge of upstream data, including knowledge provided through data profiling and data quality reporting **Customer Accountabilities:** + Performs data analysis and assesses data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products + Maintains expert knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadata + Supports the acquisition and ingestion of data + Articulates complex, large scale, and high impact technical design and development details to non-technical business partners + Elicits, analyzes, and understands business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life-cycle management, governance, lineage, and metadata + Ensures data is maintained in compliance with enterprise data standards, policies, and guidelines + Develops and maintains complex data models using industry standard modeling tools + Develops and maintains complex ETL jobs and frameworks using the Bank's standard tools + Provides support to the development and testing teams to resolve data issues, including escalation support on complex issues + Supports partners and stakeholders in interpreting and analyzing data + Builds effective working relationships within own pod and across partner teams to encourage collaboration on all pod deliverables **Shareholder Accountabilities:** + Coordinates with technology work teams such as ITS, ARE, Architecture, Enterprise Protect etc. to ensure overall delivery success + Supports the QA team with data analysis/investigations of complex issues/ test cases as part of SIT/UAT/PAT testing + Provides oversight on post implementation activities during the warranty period + Executes & approves code check-in/ check-out into source code repository as part of source code management + Works closely with ITS/ ARE teams to support code packaging & deployment (CI & CD) into higher environments + Is the lead participant in the design & architecture reviews or the application + Raises service-now requests and works with the change management team to support release management activities + Leads data engineering initiatives and capabilities, data governance principles and how they apply across the organization + Ensures metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes + Adheres & contributes towards standard security coding practices to ensure application is free of most common coding vulnerabilities + Ensures technical decisions, technical risks and lessons learned are identified, clearly documented and enhancements are accordingly implemented + Protects the interests of the organization - identifies and manages risks, and escalates non-standard, high-risk activities as necessary + Adheres to internal policies/procedures and applicable regulatory guidelines + Keeps current on emerging trends/ developments and grow knowledge of the business, related tools, and techniques + Enables team members by sharing knowledge and leveraging engineering best practices **Employee/Team Accountabilities:** + Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/ points of interest + Provides thought leadership and/or industry knowledge for Data engineering best practices and participates in knowledge transfer within the team and business unit + Keeps current on emerging trends/ developments and grows knowledge of the business, related tools and techniques + Participates in personal performance management and development activities, including cross training within own team + Keeps others informed and up-to-date about the status / progress of projects and/or all relevant or useful information related to day-to-day activities + Actively mentors and enables team members by sharing knowledge and leveraging engineering best practices + Supports the team by providing guidance and proactively identifying and resolving issues + Leads, motivates and develops relationships with internal and external business partners / stakeholders to develop productive working relationships + Contributes to a fair, positive and equitable environment that supports a diverse workforce + Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally **Physical Requirements:** Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100% + Domestic Travel - Occasional + International Travel - Never + Performing sedentary work - Continuous + Performing multiple tasks - Continuous + Operating standard office equipment - Continuous + Responding quickly to sounds - Occasional + Sitting - Continuous + Standing - Occasional + Walking - Occasional + Moving safely in confined spaces - Occasional + Lifting/Carrying (under 25 lbs.) - Occasional + Lifting/Carrying (over 25 lbs.) - Never + Squatting - Occasional + Bending - Occasional + Kneeling - Never + Crawling - Never + Climbing - Never + Reaching overhead - Never + Reaching forward - Occasional + Pushing - Never + Pulling - Never + Twisting - Never + Concentrating for long periods of time - Continuous + Applying common sense to deal with problems involving standardized situations - Continuous + Reading, writing and comprehending instructions - Continuous + Adding, subtracting, multiplying and dividing - Continuous The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes. **Who We Are:** TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you. **Our Total Rewards Package** Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more (*************************************** **Additional Information:** We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home. **Colleague Development** If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals. **Training & Onboarding** We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role. **Interview Process** We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call. **Accommodation** TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law. If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at *************** . Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process. Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.