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Industry/Sector Not Applicable Specialism Managed Services Management Level Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics - Business Intelligence team you lead the development and implementation of data engineering solutions, leveraging your proficiency in AWS services, Snowflake, and data transformation tools. As a Manager, you guide and inspire your team to deliver top-quality data solutions, making sure strategic planning and mentoring junior staff. You are responsible for managing client accounts, embracing technology and innovation, and maintaining the utmost standards of integrity and authenticity in every deliverable. Responsibilities Lead the design and execution of data engineering solutions Utilize AWS services and Snowflake for data transformation Inspire and guide team members to achieve excellence Oversee client account management with a focus on innovation Foster a culture of integrity and authenticity in projects Mentor junior staff in strategic planning and development Embrace and implement new technologies to enhance solutions Deliver top-notch data solutions What You Must Have Bachelor's Degree 5 years of experience What Sets You Apart Demonstrating significant abilities in incident management Managing change and problem management effectively Utilizing ITIL processes and service management tools Skilled in AWS services like EC2, S3, and Lambda Specializing in Snowflake for data warehousing solutions Utilizing DBT for data transformation and modeling Knowledgeable in data pipeline tools like Apache Airflow Skilled in Python for data processing and automation Specializing in SQL skills for complex queries and optimization Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Not Applicable Specialism Managed Services Management Level Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics - Business Intelligence team you lead the development and implementation of data engineering solutions, leveraging your proficiency in AWS services, Snowflake, and data transformation tools. As a Manager, you guide and inspire your team to deliver top-quality data solutions, making sure strategic planning and mentoring junior staff. You are responsible for managing client accounts, embracing technology and innovation, and maintaining the utmost standards of integrity and authenticity in every deliverable. Responsibilities Lead the design and execution of data engineering solutions Utilize AWS services and Snowflake for data transformation Inspire and guide team members to achieve excellence Oversee client account management with a focus on innovation Foster a culture of integrity and authenticity in projects Mentor junior staff in strategic planning and development Embrace and implement new technologies to enhance solutions Deliver top-notch data solutions What You Must Have Bachelor's Degree 5 years of experience What Sets You Apart Demonstrating significant abilities in incident management Managing change and problem management effectively Utilizing ITIL processes and service management tools Skilled in AWS services like EC2, S3, and Lambda Specializing in Snowflake for data warehousing solutions Utilizing DBT for data transformation and modeling Knowledgeable in data pipeline tools like Apache Airflow Skilled in Python for data processing and automation Specializing in SQL skills for complex queries and optimization Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation we're - consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Come be a part of our team - you'll work with great people, pioneering products and cutting-edge technology. What You'll Bring: 8+ years of experience in product management 5+ years of experience in a technical or platform-focused role Experience with Agile methodologies and tools like Jira, Confluence, or Aha! Strong ability to influence cross-functional teams without authority Strong prioritization and roadmapping skills Understanding of data lakes, warehouses, and pipelines (e.g., Snowflake, BigQuery, Kafka, dbt) Familiarity with metadata management, data lineage, and data cataloging tools (e.g., Collibra, Alation, Amundsen) Knowledge of governance models (centralized, federated, mesh) Experience implementing data stewardship, ownership, and quality frameworks. Deep understanding of data privacy laws (GDPR, CCPA, HIPAA) Experience with access control, encryption, and audit logging Familiarity with MDM principles and tools to ensure consistency across domains (e.g., customer, product, location) Understanding of decentralized data ownership and domain-oriented data products Familiarity with model governance, bias detection, and explainability Impact You'll Make: Technical Product Management plays a critical role at TransUnion as the conduit between our Sales, Solutions, and Engineering organizations. Our Solutions team define the "what and why" requirements and the TPM role partners with Solutions and Engineering on defining and executing the "how" technical requirements. Product/Platform Strategy & Roadmap: Define and maintain the vision and roadmap for product/platform capabilities (e.g., Credit, Marketing, Fraud / APIs, CI/CD pipelines, cloud infrastructure, developer tools). Stakeholder Collaboration: Work closely with engineering, DevOps, and product teams to understand needs and translate them into platform features. Technical Requirements: Gather and prioritize technical requirements, ensuring alignment with business goals and scalability needs. Product Lifecycle Management: Oversee the end-to-end lifecycle of product/platform features - from ideation to launch Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act. Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company's reputation are also essential expectations of this position. This is a remote position which may require occasional in-person attendance at work-related events at the discretion of management. Benefits: TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion's Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans. We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans' Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion's Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com. Pay Scale Information : The U.S. base salary range for this position is $150,100.00 - $225,000.00 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual's education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents. TransUnion's Internal Job Title: Principal, Product Management

Industry/Sector Not Applicable Specialism Managed Services Management Level Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics - Business Intelligence team you lead the development and implementation of data engineering solutions, leveraging your proficiency in AWS services, Snowflake, and data transformation tools. As a Manager, you guide and inspire your team to deliver top-quality data solutions, making sure strategic planning and mentoring junior staff. You are responsible for managing client accounts, embracing technology and innovation, and maintaining the utmost standards of integrity and authenticity in every deliverable. Responsibilities Lead the design and execution of data engineering solutions Utilize AWS services and Snowflake for data transformation Inspire and guide team members to achieve excellence Oversee client account management with a focus on innovation Foster a culture of integrity and authenticity in projects Mentor junior staff in strategic planning and development Embrace and implement new technologies to enhance solutions Deliver top-notch data solutions What You Must Have Bachelor's Degree 5 years of experience What Sets You Apart Demonstrating significant abilities in incident management Managing change and problem management effectively Utilizing ITIL processes and service management tools Skilled in AWS services like EC2, S3, and Lambda Specializing in Snowflake for data warehousing solutions Utilizing DBT for data transformation and modeling Knowledgeable in data pipeline tools like Apache Airflow Skilled in Python for data processing and automation Specializing in SQL skills for complex queries and optimization Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Job Summary The position provides leadership and direction in the establishment, development, and growth of assigned Strategic Accounts within the Industrial Components and Electronics Division. This position will carry out responsibilities in all of the following functions and areas: creating strategic plans, communicating direction, implementing corporate business reviews, creating corporate road-maps, expanding relationships (Maintain and develop relationships at all levels of Management, Procurement, Operations, and Quality Assurance, Engineering, Sales, and Estimating/quotations departments), analysis and recommendations, corporate price negotiations, and leading cross-functional teams. Responsibilities  Lead the charge in the development of a strategic plan and implementation of strategic initiatives for Hyperscale Data Center customers . The focus includes increasing account share, revenue growth, profitability, building and expanding relationships with major stakeholders, increasing product mix, and expanding the Phoenix Contact brand. Develop strategic roadmaps for assigned accounts providing direction and insight on existing revenue generating locations and prioritization of developmental locations. Develop intimate insight into the customer culture, needs and supply chain, including key metrics leading to the recommendation of plans, initiatives, and/or corrective actions to provide the highest level of service to the customer’s organization. Lead and coordinate established business reviews with the assigned accounts, including monitoring of competitive activity, leading to recommendations to the Phoenix Contact team on areas of improvement. Organize and lead cross functional teams with the appropriate members of Phoenix Contact for the purpose of building and maintaining trusting relationships between Phoenix Contact and assigned accounts. Manage project transitions assigned to specific locations as projects develop (e.g., specification, bid, procurement, and implementation) and oversee health of the opportunity pipeline. Lead the development of presentations and proposals for assigned customers, soliciting support as applicable from necessary divisional resources. Communicate price negotiations / actions for assigned accounts to the Harrisburg, Blomberg, and other Subsidiary teams including the integration of the channel. Utilize current CRM as the primary customer planning, reporting, measurement, and opportunity tracking tool. Be proficient in and drive the use of all sales tools provided to support local markets. Active involvement in industry related associations, as well as distributor, and customer events. Demonstrate technical competence on all products/solutions within area of focus. Maintain all corporate policies, procedures, and programs including quotations, lead follow-up, and timely reporting. Where applicable, work with channel partners and Harrisburg Marketing to implement national account strategies to achieve program objectives. Assist in the sales promotion of packaged control systems and end to end solutions created by the Control and Industry Solutions division. Other duties as assigned. Qualifications Bachelor’s degree preferred or equivalent combination of education and experience in a technical discipline. 5+ years of proven success in Industrial Controls and Automation Sales required. Experience with Data Center, systems design, components, construction, commissioning, or service required. Experience in working with global and high-profile accounts preferred. Proficiency in BASE selling skills and the ability to build mutually beneficial customer relationships. Demonstrated competence in establishing and leading of cross-functional teams. Excellent networking, interpersonal and influencing skills needed to communicate at all levels. Successful history in achieving strategic and sales targets. Experience managing sales through distribution channel a plus. Outstanding communication skills – written, verbal and listening. Self-motivated with the ability to learn and adapt quickly. Interpersonal and negotiation skills. Essential Job Functions Must be able to travel via airplane. Must have a valid driver’s license and be able to operate an automobile for up to six hours at a time. Must be able to lift a minimum of 50 lbs. (sample, demos, literature) Must be able to travel overnight 35% - 45% + or as required by customer location. Some international travel – valid passport required. Comply with company dress code guidelines. Regular and on-time attendance Perks & Benefits Phoenix Contact offers a generous benefits package that includes medical, dental, and vision coverage, 401k matching, bonus plan and a generous time off package. There are also a wide variety of additional benefits available including 16 weeks fully paid maternity leave & 10 weeks fully paid paternity leave, auto allowance, life insurance, short & long-term disability, tuition assistance, and more! Base salary: $130,000 - $165,000. Compensation information is made available in good faith. Phoenix Contact USA reserves the right to adjust ranges based on candidate’s experience, location and internal & external equity.  Additional compensation includes bonus plan. #LI-RD1 Phoenix Contact is committed to the diversity of our employees. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information. If you need special accommodations to access job openings or to apply for a job, please call 717-944-1300 x3490 between the hours of 8 AM and 5 PM, Eastern Standard Time, Monday – Friday or email HR@phoenixcontact.com .   Notice to Staffing Agencies, Placement Services, and Professional Recruiters: Phoenix Contact has an internal Staffing Department. Recruiters are hereby specifically directed NOT to contact Phoenix Contact employees directly in an attempt to present candidates. Phoenix Contact will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Phoenix Contact, including unsolicited resumes sent to a Phoenix Contact mailing address, fax machine or email address, directly to Phoenix Contact employees, or to Phoenix Contact’s resume database will be considered Phoenix Contact property. Phoenix Contact will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Phoenix Contact will consider any candidate for whom a Recruiter has submitted an unsolicited resume to have been referred by the Recruiter free of any charges or fees. Phoenix Contact will not pay a fee to any Recruiter that does not have a signed Phoenix Contact contract in place specific to the position for which the resume was submitted. Recruiting vendor agreements will only be valid if in writing and signed by Phoenix Contact's Director of Organization Development and Talent Acquisition or his or her designee. No other Phoenix Contact employee is authorized to bind Phoenix Contact to any agreement regarding the placement of candidates by Recruiters. By submitting a candidate to Phoenix Contact, recruiters agree to be bound and comply with this policy.  

Job Description: We are looking for a R&D Data Scientist Intern to join our team. You will help support the rapid growth of the Spark and Digital Orthodontic business unit of Envista. The R&D Data Scientist Intern will partner with fellow Engineers and Production teams to execute on project objectives and team goals. Primary Duties and Responsibilities: Support various data analytics projects. Create and maintain server scripts to extract and compile data. Provide data visualization and presentation for stakeholders on a regular basis. Job Requirements: Currently pursuing a degree in relevant fields such as Data Science, Statistics, Machine Learning, or Business Analytics. Proficiency in data analytics tools such as Structured Query Language (SQL), Python (scikit-learn, NumPy, Pandas), AWS services (Athena, SageMaker) and Microsoft Excel. A portfolio of project experieces in data analytics preferred. Strong analytical thinking and problem-solving abilities to interpret data and draw meaningful insights. Effective oral and written communication skills; ability to articulate complex data findings to both technical and non-technical stakeholders. Target Market Salary Range: Actual compensation packages take into account a wide range of factors that are unique to each candidate, including but not limited to geographic location; skill sets; relevant education and certifications; depth of experience; performance; and other business and organizational needs. The disclosed reasonable estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Envista, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. The total compensation package for this position may also include an annual performance bonus, medical/dental/vision benefits, 401K match, and/or other applicable compensation plans. $41,600 - $62,400 Operating Company: Ormco Ormco is a global leader and innovator of high-quality orthodontic products and solutions, including brackets and wires. For more than 60 years, our team has partnered with the orthodontic community to help create over 20 million smiles in more than 140 countries. We build trusted relationships. Each one is rooted in respect and understanding. We take that approach when we help orthodontists achieve their clinical and practice management objectives. We take the same approach when we help our team bring their personal best to work each day, ready to make a difference and reach their full potential. Envista and all Envista Companies are equal opportunity employers that evaluate qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The “EEO is the Law” poster is available at: http://www.dol.gov/ofccp/regs/ compliance/posters/pdf/eeopost.pdf. Envista and its family of companies (Envista) will not accept unsolicited resumes from any source other than directly from a candidate. Envista will consider unsolicited referrals and/or resumes submitted by vendors such as search firms, staffing agencies, professional recruiters, fee-based referral services and recruiting agencies (Agency) to have been referred by the Agency free of charge and Envista will not pay a fee for any placement resulting from the receipt such unsolicited resumes. An Agency must obtain advance written approval from Envista's internal Talent Acquisition or Human Resources team to submit resumes, and then only in conjunction with a valid fully-executed contract approved by the Global Talent Acquisition leader and in response to a specific job opening. Envista will not pay a fee to any Agency that does not have such agreement and written approval in place.

About FluidStack Fluidstack is the AI Cloud Platform. We build GPU supercomputers for top AI labs, governments, and enterprises. Our customers include Mistral, Poolside, Black Forest Labs, Meta, and more. Our team is small, highly motivated, and focused on providing a world class supercomputing experience. We put our customers first in everything we do, working hard to not just win the sale, but to win repeated business and customer referrals. We hold ourselves and each other to high standards. We expect you to care deeply about the work you do, the products you build, and the experience our customers have in every interaction with us. You must work hard, take ownership from inception to delivery, and approach every problem with an open mind and a positive attitude. We value effectiveness, competence, and a growth mindset. About the Role As VP of Data Center Operations, you will lead Fluidstack's global data hall operations, overseeing all equipment, server infrastructure, on-site technicians, and operational teams working within our data center facilities worldwide. You will lead a large global organization, setting strategic direction, optimizing data center and network capacity, and optimizing cost structures while maximizing performance and reliability. This also includes managing DC expansions, migrations and consolidations, critical maintenance, defining operational processes and ensuring each facility and function is maintained in accordance with company standards and best practices. You will ensure standards are the highest in the industry, following company change control policies, minimizing unexpected customer downtime, overseeing all critical incidents, problems and changes inside the data hall, and inspiring a constant drive for process improvement. Responsible for adhering to company security policies and procedures and any other relevant policies and standards as directed. Focus Drive strategic planning and priorities for data center operations Establish and track against KPIs, SLAs, and metrics (incl. regional performance, capacity, availability, and budget)​ Oversee on the ground incident response, problem resolution, and change management Drive a customer centric approach and ensure consistency in operations across all data centers globally Coordinate with global design and construction team to ensure consistency and efficiency​ Drive alignment and collaboration across functional stakeholders and key customers​ Establish critical business continuity plans, including design and implementation of disaster preparedness, detailed project management, and logistics coordination​ Establish and track safety measures to ensure safety of frontline resources​ Empower frontline resources to meet customer needs through incentives and process​ Create a high performing leadership team, who can in turn drive the strategic direction through actionable deliverables ​ About You 10+ years of experience in data center operations management with at least 5 years in senior leadership roles, managing >20MW facilities Proven track record of managing large-scale data center facilities and leading teams through periods of rapid growth, optimizing a growing and evolving business Proven experience of developing high performing teams and a people first culture Focus on execution and results – establishing high standards for performance, setting goals and developing plans, following through and holding people accountable for results​ Ability to provide thought leadership, think strategically and effectively communicate vision and influence​ Adept at balancing intense short-term pressures with overall long-term goals Financial acumen and ability to connect operational objectives to financial results Preferred Experience Experience with GPU clusters and high-performance computing environments Background in hyperscale or cloud service provider environments Benefits Competitive total compensation package (cash + equity) Retirement or pension plan, in line with local norms Health, dental, and vision insurance Generous PTO policy, in line with local norms Fluidstack is remote first, but has offices in London, New York, and SF. For all other locations, we provide access to WeWork

Position Summary Due to our recently-announced acquisition of Grover Charitable Gaming ( https://grovergaming.com/ ), Light & Wonder ( https://www.lnw.com/ ) is growing our team to deliver the best games, culture, and results in the industry. This new business will expand Light & Wonder’s (L&W) cross-platform leadership, as the premier developer of games across Gaming, Social, iGaming, and Charitable Gaming channels. Grover Gaming is already a high-performing, culture-first organization, and we are excited to unlock L&W’s deep portfolio of content that we know will exceed customer and player expectations. This will be a hybrid role based in our Raleigh, North Carolina office. Drives data analytics and optimization of Light and Wonder’s Charitable gaming business – Grover Gaming. This role will work directly with the Grover Gaming leadership to maximize game performance for our customers through the use of data and analytics. Responsible for developing and executing on all opportunities for all areas of data analytics (game performance, product, market/census, etc.) to ensure the business is equipped to make informed, data-based decisions. Essential Job Functions: Support the Data Analytics function to develop new data sources, produce new analysis, and provide forward-looking guidance to our internal and external customers. Develop an analytically driven optimization program that proactively manages Grover Gaming game performance across all customers. Assist in the development of a funnel management process where applicable, to help drive visibility and facilitate a monthly budget/recurring forecast updates. Provide input as necessary into all forecasting processes based on market trends, customer feedback, game performance, appropriate level of discounting and donations at the customer level. Research competitor pricing, performance and product lines. Create executive level presentations and customer-facing materials that clearly outlines key product strategies, customer pitches, and KPI updates (as needed) Build productive collaboration and communication. Learn all portfolio products at a detailed level. Understand regional market dynamics and competitive products. Qualifications: Training and/or Experience Technical skills Databases/ Programming Languages: Python, SQL, SAS Machine Learning Techniques: Classification, Regression, Time Series, Clustering Cloud/ Dev Ops: AWS Lambda, S3, Athena BI/ Visualization Tools: Tableau, QuickSight Ability to effectively work with cross-functional teams Possess excellent analytical, strategic, and presentation skills Experience in working with big data environments and multiple databases Experience in financial modeling and analysis Strong ability to mine data and compile the information into actionable insights Knowledge of the Gaming Industry and regulations preferred Strong problem-solving skills Knowledge, Skills and Abilities: Possesses high integrity and exceptional work ethic. Fosters mutual trust and respect and is an excellent team player. Focused on team success. Works well in a team environment. Assists team members in all areas to achieve success and retrospectively provides feedback for continuous improvement. Possess the ability to identify, analyze, and resolve problems logically and systematically meets challenges consistently and confidently with energy and drive. Motivated by results, urgency and personal commitment. Able to work effectively in a highly complex matrix environment, with a proven ability to influence without formal authority and achieve results through people. Understands the link between excellence in data acquisition/warehousing/insights, and how to leverage this as a competitive advantage in the marketplace. Applies effective communication techniques, engages in focused dialogue, and demonstrates good listening skills. Strong interpersonal and relationship-building skills. Possess strong leadership capabilities and skilled in driving development of employees. Outstanding oral, written and communication skills with the ability to present to small and large groups including Global Executives and deal with unexpected questions and challenges while presenting. Excellent and proven project management skills. Education: Masters’ Degree in Analytics, Statistics, Mathematics or Business Related 5-7 Years of experience in the Gaming Industry, Finance, Sales, Consumer products Qualifications Physical Requirements: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, stand, walk, bend, use hands, operate a computer, and have specific vision abilities to include close and distance vision, and ability to adjust focus working with computer and business equipment. Work Conditions: The work conditions are representative and typical of similar jobs in comparable organizations Light & Wonder and its affiliates (collectively, L&W) are engaged in highly regulated gaming businesses. As a result, certain L&W employees may, among other things, be required to obtain a gaming or other license(s), undergo background investigations or security checks, or meet certain standards dictated by law, regulation or contracts. In order to ensure L&W complies with its regulatory and contractual commitments, as a condition to hiring and continuing to employ its employees, L&W requires all of its employees to meet those requirements that are necessary to fulfill their individual roles. As a prerequisite to employment with L&W (to the extent permitted by law), you shall be asked to consent to L&W conducting a due diligence/background investigation on you. This job description should not be interpreted as all-inclusive; it is intended to identify major responsibilities and requirements of the job. The employee in this position may be requested to perform other job-related tasks and responsibilities than those stated above. L&W is an Equal Opportunity Employer and does not discriminate against applicants due to race, ethnicity, gender, sexual orientation, veteran status, or on the basis of disability or any other federal, state or local protected class. If you’d like more information about your equal employment opportunity rights as an applicant under the law, please click here: EEOC Poster . #LI-RR1 #LI-Onsite Light & Wonder is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. If you’d like more information about your equal employment opportunity rights as an applicant under the law, please click here for EEOC Poster .

Company Overview: Ocean State Job Lot (“OSJL” or the “Company”) is a dynamic $850+ million general merchandise retailer with a strong foothold across the Northeast and Mid-Atlantic. With over 170 stores currently and ambitious plans to reach 180 locations, OSJL offers exciting opportunities for growth and contribution. We are an opportunity-driven retailer owning over 50% of our operating locations, totaling 8 million square feet, demonstrating our stability and long-term vision. At OSJL, you will be part of a team committed to delivering exceptional value to our customers while driving positive change and a more responsible future for retail within our communities. Job Description: The Asset Protection Data Analyst role at Ocean State Job Lot (“OSJL” and “Company”) is responsible for developing, conducting, and managing quantitative and qualitative asset protection analyses and for producing reports on asset protection data. This role works closely with the Asset Protection team and all levels of leadership throughout OSJL’s retail stores and contributes to the development of programs that support Asset Protection initiatives. Duties are performed with self-direction, independent judgment and minimal supervision. Key Responsibilities: Research asset protection-related data, including Workers’ Compensation claims, injuries, accidents, incidents, POS/eCommerce transactions, inventory, and shrink. Utilize data mining software and techniques to extract information from data sets and to identify and report correlations and patterns to leadership. Develop and prepare reports, dashboards, scorecards, diagrams, graphs, and analysis to drive business decisions and support business needs. Communicate with stakeholders at all levels of leadership to understand data content and business requirements. Interpret report results, prepare summaries, and use data to predict trends and make recommendations to leadership. Serve as the expert for all data pertaining to asset protection functions and reports and ensure internal and external compliance is followed. Lead independent initiatives and project teams to collaborate with end users and identify and develop continuous improvements to processes that enhance the efficiency of report functionality and delivery. Identify opportunities for improvement to leadership. Participate in and contribute to the development of all asset protection reporting and applications. Plan, design, deliver, and evaluate the effectiveness of training for all end users in asset protection report interpretation and application. Collaborate and work with stakeholders including, but not limited to, the Store Operations and Business Analytics teams, to create, modify, and enhance asset protection data analysis and reporting for the Company. Identify and recommend opportunities to promote frugality by streamlining business processes. Monitor and audit data quality and execute removal of corrupt data. Qualifications: Bachelor’s degree in business, finance, or a related field is preferred. Previous retail store operations, retail business processes, or retail systems experience is required. Effective customer service and project management skills are required. Proficient in Google platform (i.e., Sites, Slides, Drives, Docs, Sheets). Work Environment: Works primarily in a climate controlled environment with minimal safety and health hazard potential. Works in an office environment remaining stationary at a desk, table, or computer workstation for extended periods of time. Frequently uses near vision for reading and computer tasks. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. OSJL Featured Total Rewards & Perks: Competitive Paid Time Off (PTO) Comprehensive Health Coverage: Including but not limited to Medical, Dental, Vision, and much more. 401K Program Flexible Spending Account (FSA) Tuition Reimbursement Associate Store 30% Discounts Enjoy complimentary access to OSJL-owned vacation properties, along with discounted gym memberships and 20% off at OSJL affiliated restaurants. Free lunch Fridays This job description does not list all the duties of the job. You may be asked by supervisors or managers to perform other job duties and tasks, some of which may be essential to the position. Leadership has the right to revise this job description at any time. The job description is not a contract, either express or implied. You are an at-will employee, meaning either you or the Company may terminate your employment at any time, with or without notice. The annual salary range for this position is between $55,000 - $72,000. Salary commensurates with qualifications and years of experience.

Description Position at loanDepot Position Summary: The Senior Data Engineer will be responsible for delivering senior level innovative and compelling software solutions for our consumer, internal operations, and value chain constituents across a wide variety of enterprise applications. The job duties and requirements are defined for backend. Provides technical leadership and mentorship to junior team members. Responsibilities: Designs, develops, and delivers solutions that meet business line and enterprise requirements. Creates data and reporting infrastructure by building and optimizing production-grade data pipelines using continuous integration/ continuous deployment. Participates in rapid prototyping and POC development efforts. Understand business and technical requirements and constraints to design effective data engineering solutions. Assists in efforts to develop and refine functional and non-functional requirements. Champion engineering excellence, including software design patterns, code reviews and automated unit/functional testing. Create conceptual architectures and detailed designs for data engineering solutions. Contributes to overall enterprise technical architecture and implementation best practices. Participates in iteration and release planning. Performs other duties and projects as assigned. Requirements: Bachelor’s Degree required, and a minimum of four (5)+ related work experience. Required Technical Skills: Design and implementation of data lake, data warehouse and data mart. Web API, REST, GraphQL, XML/JSON. ETL/ELT, and one of data engineering languages (Python/Java/Scala). ADF, ADLS, Airflow, DBT and any of cloud-native data warehouse (Snowflake, Databricks, BigQuery). Strong SQL experience, with expert-level skills in query performance tuning and data modeling. Designs enterprise database systems using Microsoft SQL Server. Has working knowledge of GIT. Develops branching and merging strategies. Ability to design, develop, and maintain scalable, reusable code. Estimates tasks with a level of granularity and accuracy commensurate with information provided to ensure expectations of delivery are reasonable. Excels in a rapid iteration environment with short turnaround times. Knowledge of cubes and SSAS is a plus. Knowledge of SSRS, Power BI, and Tableau a plus. Why work for #teamloanDepot: Competitive compensation package based on experience, skillset and overall fit for #TeamloanDepot. Inclusive, diverse, and collaborative culture where people from all backgrounds can thrive Work with other passionate, purposeful, and customer-centric people Extensive internal growth and professional development opportunities including tuition reimbursement Comprehensive benefits package including Medical/Dental/Vision Wellness program to support both mental and physical health Generous paid time off for both exempt and non-exempt positions About loanDepot: loanDepot (NYSE: LDI) is a digital commerce company committed to serving its customers throughout the home ownership journey. Since its launch in 2010, loanDepot has revolutionized the mortgage industry with a digital-first approach that makes it easier, faster, and less stressful to purchase or refinance a home. Today, as the nation's second largest non-bank retail mortgage lender, loanDepot enables customers to achieve the American dream of homeownership through a broad suite of lending and real estate services that simplify one of life's most complex transactions. With headquarters in Southern California and offices nationwide, loanDepot is committed to serving the communities in which its team lives and works through a variety of local, regional, and national philanthropic efforts. Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay for this roles is between $140,000 and $180,000. Your base pay will depend on multiple individualized factors, including your job-related knowledge/skills, qualifications, experience, and market location. We are an equal opportunity employer and value diversity in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io . Responsibilities Lead the design, development, and maintenance of scalable data pipelines and architectures. Implement and optimize data ingestion, transformation, and storage solutions. Ensure data quality, integrity, and security across multiple data sources and platforms. Collaborate with software engineers, data scientists, analysts, and other stakeholders to define and fulfill data requirements. Monitor, troubleshoot, and improve data workflows for performance and efficiency. Establish and document best practices for data processes, architecture, and workflow procedures. Lead and mentor a team of data engineers, fostering a culture of technical growth and collaboration. Required Skills 4+ years of experience in data engineering or a related role. 2+ years Technical leadership and People management Strong proficiency in SQL and experience with relational and time-series databases. Hands-on experience with data pipeline and event streaming technologies (e.g., Apache Airflow, Spark, Kafka, Flink). Proficiency in Python for data processing and automation. Experience with cloud-based data platforms such as Databricks. Experience with AWS Knowledge of ETL processes, data modeling, governance, compliance and data warehousing concepts. Familiarity with version control, CI/CD pipelines, and testing frameworks for data workflows. Strong problem-solving skills, analytical thinking, and attention to detail. Excellent communication and leadership skills Bonus Skills Experience with real-time data processing frameworks. Familiarity with IoT and embedded systems data Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). Experience in a high-growth startup environment. Familiarity with monitoring and alerting systems for real-time data analysis. Knowledge of machine learning and data science concepts. This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply! Benefits Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) Paid parental leave Alternating day off (every other Monday) “Off the Grid”, a two week per year paid break for all employees. Commuter allowance Company-paid training

Meet Flagship: Flagship is building an innovative Sales and Operations Planning (S&OP) software that empowers DTC retail brands to maximize growth efficiency. Our platform seamlessly integrates with their first-party data to provide tailored insights based on advanced data analytics to drive cross-functional strategic decision-making. At Flagship, we have built a multidisciplinary team of machine learning experts and industry professionals from the tech, commerce, and retail sectors. This has allowed us to build software that actually serves the needs of retail planning teams and executives and enables data-driven collaboration across departments. Our mission is to break businesses free from the limitations of outdated, siloed metrics and instead, focus on high-impact growth indicators that contribute to a positive net business outcome. Join us in revolutionizing the way that retailers interact with their data to make more accurate, granular decisions informed by both their business expertise and machine learning algorithms. Meet the Role: As a Data Engineer, you will work with the craftspeople across Flagship as you build systems that work with our customers’ data, their existing tech stacks, and the rest of the Flagship ecosystem. You’ll build pipelines for collecting, preserving, and transforming customer data for use by our Data Scientists and our web application. Build with autonomy and accountability. It might bear repeating that we’re a startup, but we also have paying customers in production. You will build features of your own, and you’ll help us maintain the existing features that our customers love. Discuss solutions across disciplines. We have brilliant folks at Flagship across the board, from data science to customer onboarding to sales. Planning new features for this data-heavy application means collaboration with those that understand it best. Dig in with empathy. Flagship is a sophisticated application. When customers—internal and external—have issues, it’s just as often about education and transparency as it is about fixing a bug or improving a tool. Debugging here is an interdisciplinary process full of humility and curiosity. Design, design, design. Flagship is a small team building a large application. We empower everyone to contribute to the design of the app and its architecture, but the execution often falls to us as Engineers. We want you to be curious, and we want you to be creative. Challenge Us. As a small team, our familiarity can sometimes limit our perspective. We want you to bring fresh ideas that will help us grow as a team. What you’ll do: Read and write lots of Python. Our product contains a mountain of code in varying degrees of completeness and correctness. Support the rest of our team. That might mean helping with an internal admin tool to visualize what’s in the warehouse. That might mean some clever SQL to help Data Science. That might mean helping our Customer Experience team understand the quality of a customer’s data. Add features to the ETL pipelines that feed data into and out of our data warehouse . Support the web application developers as we plumb both new sources and new types of customer data. Leverage SQL (and PL/pgSQL) to help us get the most out of Postgres , our primary source of truth. Design tables and indexes to preserve the performance of both the warehouse and our frontend database. Build and maintain integrations with a variety of HTTP APIs , from REST to GraphQL. Ditto for ingesting large datasets from CSVs and JSONL files. Contribute to the Go and/or JavaScript supporting the web application . The role involves a lot of cross-functional work with our web Engineers. The more context we can share, the better. What you’ll want to thrive: Like any startup, we need folks that bring specialties of their own in addition to the table stakes. You have experience with Alembic and/or SQLAlchemy , used by the data warehouse. You have experience with Docker, Terraform, or AWS , all of which manage our customer-facing environments. We have continuous deployment in place. What have you used to deploy applications in the past? You’ve worked in remote-first companies. Our team is scattered across the US, so we spend a lot of time discussing our work on Slack and Zoom. Not necessary but nice to have: Experience working with Shopify and/or ERPs: Enterprise Resource Planning tools (e.g., NetSuite, iSync, ApparelMagic, Blue Cherry). Our customers use them, and our software talks to them. Experience with Snowflake, a key tool our Data Scientists use. Experience working with large text files (many MBs), large datasets (millions of rows), file encodings (e.g. UTF-8), and other extremes of data engineering. Our values: We’re Curious. We obsess over uncovering what would make our customers happier and our team faster. We’re Constructive. Our best work often comes from applying creative constraints and doing more with less. We’re Agile. Startups are inherently messy, and agility is our antidote. No Egos Allowed. We value impact over pride and believe no job is beneath us when it comes to moving the team forward. We’re Outcome-Oriented. You can execute your part perfectly and still miss the mark if the overall goal isn’t met. We’re Proactive. We actively seek ways to make an impact, even if it is beyond our specific job responsibilities. We’re All In. Our success requires the skills and viewpoints of a diverse and dedicated team. What we offer: Accelerated hands-on learning and a commitment to professional growth as we build and grow both the software and our teams An incredible amount of trust and freedom in your ability to deliver as well as the support of a software engineering team that’s invested in your success An opportunity to be an important part of a fast growing software application company Applicants must be authorized to work in the United States. Sponsorship for work visas is not available for this position.

SUMMARY At Magnolia, the Data Architect will design and evolve the data infrastructure that drives smarter business decisions across merchandising, eCommerce, supply chain to customer insight. In this role, you will build scalable, modern data solutions and act as a key partner across business, product, and engineering teams to ensure Magnolia’s decisions are grounded in truth, quality, accuracy, and accessibility. This position works from the Magnolia Headquarters in Waco, Texas. The Data Architect reports to the Sr. Manager of Engineering and has no supervisory responsibilities. ESS ENTIAL DUTIES AND RESPONSIBILITIES Design robust, secure, and scalable data architectures to support high-volume retail data from systems including POS, ERP, OMS, WMS, CRM, and digital commerce platforms Define logical and physical data models for key domains including customer, product, inventory, and transactions. Align structures across source systems and analytic s layers Design data lakes, data warehouses, and semantic layers that support enterprise BI, self-service reporting, and customer analytics ( 360° view) across digital and physical touchpoints * Lead the design of efficient ETL/ELT pipelines, data orchestration workflows, and streaming integrations to enable near real-time insights * Define and enforce standards for data integrity, lineage, classification, and stewardship. Establish guardrails for accuracy, security, and privacy * Lead efforts to refactor or migrate legacy systems to cloud-native platforms such as Snowflake, Redshift, or Databricks. Drive adoption of scalable tools and modern practices * Work cross-functionally to understand analytical needs and translate them into clear, performant data structures and access patterns Ensure data infrastructure supports advanced use cases like predictive modeling, customer segmentation, and machine learning pipelines Maintain architectural artifacts including data dictionaries, lineage diagrams, and process documentation. Serve as the SME for how Magnolia’s data flows and fits together * Provide guidance to data engineers, analysts, and stakeholders on best practices, performance tuning, and scalable design decisions Perform other duties as assigned *Metrics evaluated on Performance Review COMPETENCIES Teamwork : Contribute to a team environment supporting diversity, equity, inclusion, and belonging. Work effectively with others, be a team p layer, and contribute towards team goals. Critical Thinking : Propose creative solutions within specific specialization. Ability to analyze data, trends, and patterns. Expertise : Expert in knowledge, skills, tools, and techniques relevant to specialization. Able to develop expertise in related area(s). Communication : Actively engage in listening to teammates and guests and be open to feedback from guests, peers, and management. Guest Focus : Ability to proactively understand and meet guest needs, ensuring a personalized and guest-centric experience. Strategy and Goal Setting : Approach change with positivity and curiosity. Know your role in achieving team goals. ELIGIBILITY QUALIFICATIONS Bachelor's degree from a 4-year college or university preferred 8+ years of experience of industry experience preferred Experience designing enterprise data platforms in retail, eCommerce, or logistics environments S trong expertise i n data modeling, data warehousing, and cloud data platforms (e.g., Snowflake, BigQuery , Redshift, Databricks) Proficiency with ETL/ELT tools and data orchestration frameworks (e.g., dbt , Airflow, Informatica, Boomi) Experience with SQL, Python, and cloud infrastructure (AWS, GCP, or Azure) Deep understanding of data integration tools and platforms and a strong knowledge of SQL, Python, and cloud services Experience working with customer data platforms (CDPs), loyalty analytics, or recommendation systems. Knowledge of data privacy regulations (e.g., GDPR, CCPA) and security best practices in retail environments. Familiarity with tools like Tableau, Looker, Power BI, or custom dashboarding solutions. Must be available to be on call as business needs require PHYSICAL DEMANDS While performing the duties of this job, the employee is regularly required to sit; use hands and arms to reach, handle, feel; utilize fine motor dexterity of fingers; talk or hear and taste or smell. The employee is frequently required to stand and walk. The employee is frequently required to climb or balance and stoop, kneel, crouch, or crawl. The employee must frequently lift and/or move up to 10 pounds, and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. WORK ENVIRONMENT While performing the duties of this job, the employee is occasionally exposed to outside weather conditions. The noise level in the work environment is usually moderate. ACKNOWLEDGEMENTS Magnolia is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. This job description has been designed to indicate the general nature and level of work performed by an employee in this classification. It is not to be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications of employees assigned to this job. Management has the right to add to, revise, or delete information in this description at any time.

Job Description: Job Title Chief Data Officer - Senior Business Functional Analyst Corporate Title Vice President Location Cary, NC Overview The Data Management function is responsible for designing and driving the execution of the data strategy at Group and Divisional/functional level as well as coordinating adherence to Data related processes and policies and any applicable local regulations. As a member of the US Chief Data Office (CDO) within the Technology, Data, and Innovation division, you will partner with our customer facing, front-line (Corporate Bank (CB), Investment Bank (IB), Private Bank (PB)) data subject matter experts to understand their published data and product suite. With this knowledge, you will work with our Infrastructure teams (within Risk, Finance, Treasury, Anti-Financial Crime (AFC), and Compliance) to understand required data sets (including specific data attributes required) from each producer (customer facing) team. The US CDO team is accountable for ensuring collection of metadata on data flows (lineage), critical data elements and controls for our in-scope processes and regulatory reports. Data is a critical enabler to successful reporting, with the US CDO playing a key role in the Bank’s data strategy. What We Offer You A diverse and inclusive environment that embraces change, innovation, and collaboration A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days Employee Resource Groups support an inclusive workplace for everyone and promote community engagement Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits Educational resources, matching gift, and volunteer programs What You’ll Do Support the execution of the data strategy whilst identifying opportunities for risk reduction and compliance with Data &/or Records related regulatory requirements With the Consolidated US Operations (CUSO) Data leadership team, take responsibility for the identification, assessment, improvement and governance of quality and fit for purpose of the Bank’s data assets Lead the 1st line businesses (CB, IB, PB) and 2nd line functions (Risk, Finance, Treasury, AFC, Compliance) in identifying data quality issues and facilitate resolution Work with key stakeholders to identify region-specific data capability business requirements and translating requirements into specific functional specifications for solution development Drive requirements through to implementation of technical and (where required) operational process implementation Align with other key stakeholder groups (including 1st line of defense and 2nd line of defense subject matter experts, divisional data offices, group architecture & technology engineering groups) to support the link between the Business divisions and the solution providers for all aspects of identifying, implementing and maintaining solutions How You’ll Lead Support management of Data Quality (DQ) Issue inventory for the US Region and development and implementation of DQ Issue prioritization criteria tied to business outcomes (i.e. Data Exceptions, Adjustments, etc.) Partners with global DDO organizations (up to Managing Director level) to drive analysis and drive resolution of data quality issues, while Direct engagement (including preparation of supporting materials) with local CDO colleagues (up to Director level) and stakeholders (up to Managing Director level) on data quality issues impacting the US region Work with global and regional stakeholders to clearly identify dependency on resolution of US-related issues by other programs; establishes engagement model with relevant programs on specific implementation dependencies Skills You’ll Need Bachelor's degree or equivalent required. Subject matter knowledge in at least one of the following 2nd line functions: Risk, Finance, Treasury, Anti-Financial Crime, Compliance Demonstrated experience delivering solutions to data requirements in financial services and Stakeholder Management Awareness of Data Management principles and Core Data Management Standards Metadata management (significant part of role includes analyzing large volume of metadata through excel or equivalent) Microsoft office intermediate to advanced skills in Word, PowerPoint, Excel Skills That Will Help You Excel Critical Thinking Excellent communication skills, both written and spoken Attention to detail Self-motivated Expectations It is the Bank’s expectation that employees hired into this role will work in the Cary, NC office in accordance with the Bank’s hybrid working model. Deutsche Bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion. The salary range for this position in Cary is $125,000 to $185,000. Actual salaries may be based on a number of factors including, but not limited to, a candidate’s skill set, experience, education, work location and other qualifications. Posted salary ranges do not include incentive compensation or any other type of renumeration. Deutsche Bank Benefits At Deutsche Bank, we recognize that our benefit programs have a profound impact on our colleagues. That’s why we are focused on providing benefits and perks that enable our colleagues to live authenti­cally and be their whole selves, at every stage of life. We provide access to physical, emotional, and financial wellness benefits that allow our colleagues to stay financially secure and strike balance between work and home. Click here to learn more! Learn more about your life at Deutsche Bank through the eyes of our current employees: https://careers.db.com/life The California Consumer Privacy Act outlines how companies can use personal information. If you are interested in receiving a copy of Deutsche Bank’s California Privacy Notice please email HR.Direct@DB.com . #LI-HYBRID We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Click these links to view Deutsche Bank’s Equal Opportunity Policy Statement and the following notices: EEOC Know Your Rights ; Employee Rights and Responsibilities under the Family and Medical Leave Act ; and Employee Polygraph Protection Act .

Are you passionate about making a difference in people's lives? Do you enjoy working in a service-oriented industry? If so, this opportunity may be the right fit for you! This role will require the candidate to be located in Denver or be open to relocation to Denver as this is an in office position. This position is responsible for designing, building, and maintaining scalable, cloud-native data pipelines and platforms to power advanced analytics, real-time data applications, and AI/ML workflows. Plays a key role in enabling machine learning in production environments by developing robust data architectures, implementing lakehouse solutions, and collaborating with cross-functional teams to deliver high-quality, governed, and discoverable data products. This role... Designs, builds, and maintains scalable batch and real-time data pipelines using AWS-native tools. Develops and manages data lake/lakehouse architectures leveraging S3, Glue Catalog, Athena, EMR (Iceberg/Delta Lake), and Redshift. Collaborates with ML engineers and data scientists to operationalize ML models and support MLOps pipelines. Ensures data quality, observability, lineage tracking, and compliance across all data products. Designs scalable data models for storage in Amazon DynamoDB and other AWS-based stores. Builds and maintains online/offline feature stores to support low-latency AI applications. Contributes to decentralized data ownership and federated governance using tools like Amazon DataZone. Partners with product managers, engineers, and analysts to align data infrastructure with strategic goals. Designs systems using event-driven architecture and microservices principles. May lead projects and perform other duties as assigned. Occasional business travel may be required. We are interested in speaking to individuals with the following... Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field required. AWS certifications (Data Analytics, Machine Learning) or equivalent credentials preferred. Expertise in Python and SQL for ETL/ELT, data transformation, and automation tasks. Deep experience with AWS services: S3, Glue, Athena, Redshift, DynamoDB, Kinesis/MSK, Lambda, Step Functions, EMR. Strong understanding of modern data architectures (data lake, lakehouse, data warehouse). Hands-on experience with Apache Spark, Kafka, Airflow, and other orchestration tools. Familiarity with DevOps and Infrastructure-as-Code tools (Pulumi, CloudFormation, CDK). Knowledge of data governance, security, and compliance (e.g., HIPAA, GDPR). Proficient in semantic layer design using tools like AWS Glue Catalog and third-party platforms (Alation, Collibra). Ability to integrate semantic assets within lakehouse ecosystems. Strong communication skills and ability to work cross-functionally in agile teams. Problem-solving mindset with attention to detail and commitment to code quality. Salary: $180,000-230,000 This role is bonus eligible. Modivcare’s positions are posted and open for applications for a minimum of 5 days. Positions may be posted for a maximum of 45 days dependent on the type of role, the number of roles, and the number of applications received. We encourage our prospective candidates to submit their application(s) expediently so as not to miss out on our opportunities. We frequently post new opportunities and encourage prospective candidates to check back often for new postings. We value our team members and realize the importance of benefits for you and your family. Modivcare offers a comprehensive benefits package to include the following: Medical, Dental, and Vision insurance Employer Paid Basic Life Insurance and AD&D Voluntary Life Insurance (Employee/Spouse/Child) Health Care and Dependent Care Flexible Spending Accounts Pre-Tax and Post --Tax Commuter and Parking Benefits 401(k) Retirement Savings Plan with Company Match Paid Time Off Paid Parental Leave Short-Term and Long-Term Disability Tuition Reimbursement Employee Discounts (retail, hotel, food, restaurants, car rental and much more!) Modivcare is an Equal Opportunity Employer. EEO is The Law - click here for more information Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled We consider all applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, handicap or disability, or status as a Vietnam-era or special disabled veteran in accordance with federal law. If you need assistance, please reach out to us at hr.recruiting@modivcare.com

Position Summary Headquartered in Ridgefield Park, N.J., Samsung Electronics America, Inc. (SEA) is a leader in mobile technologies, consumer electronics, home appliances and enterprise solutions. The company pushes beyond the limits of today’s technology to provide groundbreaking connected experiences across its large portfolio of products and services, including mobile devices, home appliances, home entertainment, 5G networks and digital displays. As an eleven-time winner of EPA’s ENERGY STAR® Partner of the Year Award for Sustained Excellence, SEA is dedicated to making a positive impact on the environment through its eco-conscious products, practices and operations. People | Excellence | Change | Integrity | Co-prosperity Role and Responsibilities They have extensive experience with ETL design, coding, and testing as well as engineering software platforms and large-scale data infrastructures. Big Data Engineers should have the capability to develop highly scalable end-to-end pipeline using different open-source tools, including building and operationalizing high-performance algorithms. The engineer should understand how to apply technologies to solve big data problems on with knowledge in programming languages like Python, SQL and technologies like BigQuery, pandas, Kubernetes and Spark. Big data engineers implement complex big data projects with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into actionable deliverables across customer-facing platforms. They have a strong aptitude to decide on the needed hardware and software design and can guide the development of such designs through both proof of concepts and complete implementations. Additional qualifications should include: • Experience interacting with Data Analysts and Stakeholders to understand the project scope and requirements • Tune big data solutions to improve performance and end-user experience • Proficient in designing efficient and robust data workflows • Documenting requirements as well as resolve conflicts or ambiguities • Experience working in teams and collaborate with others to clarify requirements • Excellent oral and written communication skills. Responsibilities and Duties: Understand and document scope and requirements through interactions with analysts and stakeholders Design and develop scalable code based custom ETL pipelines using big data technologies on Cloud platform. Design and develop code to ingest data from a variety of data sources such as Relational databases, APIs and files. Experience in developing Complex SQL transformations on BigQuery. Code and query Optimization. Follow and contribute to engineering best practices for source control using Github, release management, deployment etc. Production support, job scheduling/monitoring, ETL data quality, data quality reporting Background/Experience Required: Bachelors or Masters in Computer Engineering. 2-3 years of experience on Big data Solutions on GCP. Expertise in Python, SQL( BigQuery preferred), Kubernetes and Airflow is a must have. Necessary Skills and Attributes: 2-3 years of code based ETL development using python and SQL 2-3 years of experience writing complex SQL queries. 2-3 years of Python development experience 1+ years of experience on GCP services such as Bigquery, Kubernetes and Composer Working experience in Apache Airflow Experience in developing high-performance, reliable and maintainable code. Experience in interacting with stakeholders and converting functional requirements into code design. Analytical and problem-solving skills, applied to Big Data domain. Experience and understanding of Big Data engineering concepts. Proven understanding and hands on experience with GitHub, development IDEs such as VS code. B.S. or M.S. in Computer Science or Engineering Skills and Qualifications #LI-JM1 Life @ Samsung - https://www.samsung.com/us/careers/life-at-samsung/ Benefits @ Samsung - https://www.samsung.com/us/careers/benefits/ * Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here .

CTEH is seeking a highly adaptable and data-driven professional to support both emergency response efforts and data management operations. This hybrid role merges the technical expertise of a data manager with the agility and field presence of a rapid responder. You’ll help ensure accurate, accessible, and timely data during critical environmental and public health incidents—both in the field and behind the scenes. Job Type: Part-Time/Temporary Pay: $16.50–$30.00/hour (based on training, duties, and project type) Schedule: Flexible availability with on-call rotation and travel required Location: Flexible ACTIVITIES/TASKS/SCOPE Deploy to emergency and disaster sites to collect environmental and air quality data Use internal tools to track, review, and complete QAQC tasks (this doesn't require software specific knowledge but still gets across the focus of the role) Support laboratory deliverables and field instrumentation (e.g., air monitors, sampling devices) Participate in cross-functional training and provide on-site data and technical support Maintain accurate project records and reports in accordance with internal standards Travel frequently and respond to time-sensitive incidents under high-pressure conditions Assist with quality control, chain-of-custody documentation, and regulatory compliance Adhere to all safety protocols including PPE and HAZWOPER requirements Perform other duties as assigned EDUCATION, EXPERIENCE, & CREDENTIALS Bachelor’s degree in computer science, GIS, environmental science, or a related field preferred 0–2 years of experience in data management or environmental response KNOWLEDGE, SKILLS, & ABILITIES Must be 21+ with a valid, unrestricted driver's license Proficient in Microsoft Office; strong aptitude with digital tools and tech platforms Exceptional attention to detail with a demonstrated ability to identify errors and inconsistencies in data, documents, or processes Ability to prioritize tasks and manage time effectively in fast-paced environments, consistently meeting tight deadlines without sacrificing quality Experience using Tableau and/or Power BI, and ArcGIS preferred Experience with relational databases (MSSQL, PostgerSQL) preferred Able to pass pre-employment physical, drug screen, and respirator fit test Willing and able to complete HAZWOPER, TWIC, DISA, and other relevant certifications Previous military, field, or emergency response experience is a plus Ability to establish and maintain effective working relationships within a matrix reporting structure. Demonstrable ability (with minimal guidance) to solve problems and make accurate and informed decisions. Ability to understand and follow written and verbal directions; and, Possess strong verbal and written communication skills in the English language WORK ENVIRONMENT & PHYSICAL DEMANDS The physical demands described below are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. FREQUENT: Sitting, standing, and walking; Lifting up to 50 pounds several times a day; Overhead lifting of over 20 pounds; Bending, stooping, crawling, and climbing ladders; Long hours involving overtime and weekends as necessary; Keyboarding/typing; Ability to read effectively from a computer screen, sampling device, and/or paper copy; Ability to handle a large volume of work and perform multiple tasks in a fast-paced environment; Frequent, unscheduled travel for extended periods of time; and, Wear half-face and/or full-face air purifying respirator (APR) as well as supplied air respirators in the form of Self-Contained Breathing Apparatus (SCBA) and hose supplied respirator with medical clearance as required under 29CFR 1910.134. OCCASIONAL: Ability to drive noncommercial vehicles; Rarely may work shifts of up to 24 hours in duration; Dress out in physically demanding personal protective equipment (PPE) for site entry at HAZWOPER sites as required under 29CFR 1910.120; and Wear partially or totally encapsulating personal protective equipment. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. FREQUENT: May work outdoors and may be exposed to hot and cold environments and extreme weather conditions including but not limited to: sunlight, rain, snow, windy conditions; Encounter environments presenting physical hazards including: uneven ground, standing water, ditches, dusty conditions, rapidly moving transportation/remediation equipment, and physical stress associated with the wear of personal protective equipment; May be assigned varying shifts including overnight shifts; and May work in a setting with potential physical, chemical, and biological hazards. OCCASIONAL: May work at altitudes greater than 5000 feet above sea level and May work on waterways, sea, or air.

Principal Data Scientist I Are you looking to develop your Data Scientist career? Do you enjoy coaching others to achieve high standards? Join us in shaping a more just world. About Us : LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities. About the Role : As a Senior Data Scientist, you will become a subject matter expert, defining projects and their execution. Leading small teams of indirect reports, you'll influence and mentor teams in best practices and methodologies. For this role, we are seeking candidates who are highly experienced inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. Responsibilities : Leading the development of advanced AI and machine learning models to solve complex business problems Working closely with other data scientists and engineers to design, develop, and deploy AI solutions Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs Analyzing large datasets to identify patterns and trends that can inform AI development Communicating findings and insights to stakeholders in a clear and concise manner Staying current with the latest AI and machine learning trends and technologies Mentoring junior data scientists and provide guidance on AI and machine learning best practices Driving best practices across our data science functions Setting strategy and team direction, with a clear vision for Data Science Working with product leaders to apply data science solutions. Evaluating and creating new frameworks and defining methodologies and governance Leading small- to medium-sized teams (direct or indirect) Setting a high-bar for model development Requirements : Have substantial experience in a senior data scientist role Have experience in leading complex projects and customer relationships Have significant experience in managing larger Technical teams (direct or indirect) Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues Be a natural problem solver, able to take a lead in collaborating to resolve issues Have excellent communication skills and the ability to convey information clearly to senior stakeholders Highly Desired Skills and Experience : PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field 10+ years of experience in AI and machine learning Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc. Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. Experience with reinforcement learning, prompt engineering, hallucination mitigation Working understanding of the business risks associated with applying LLM in a business Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark) Strong coding skills in Python or another programming language Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders Strong problem-solving skills and the ability to think outside the box Work in a way that works for you : We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees Working with Us : LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace. Working for you : We believe in a healthy work/life balance. We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: - Comprehensive, multi-carrier health plan benefits - Disability insurance - Dependent care and commuter spending accounts - Life and accident insurance - Retirement benefits (salary investment plan/employer stock purchase plan) - Modern family benefits, including adoption and surrogacy About our Team : LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We’re one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . USA Job Seekers: We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. 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Data Scientist, Senior The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait. You Have: 8+ years of experience with developing and applying fundamental mathematics, mathematical, or statistical theory to collect, organize, interpret, and summarize numerical data to generate usable information to solve a wide range of problems 8+ years of experience developing mathematical or statistical models of pheno mena for analysis or computational simulation Experience with statistical programming languages, including Python, R, SPSS, SAS, or MATLab Ability to design complex metrics that apply valid scientific techniques and utilize information obtained from baselines or historical data to produce structured analyses Ability to work independently with minimal oversight and direction TS/SCI clearance with polygraph Bachelor’s degree Nice If You Have: Experience with multi-INT analytics Experience pulling and processing data from APIs Experience reviewing and evaluating technical documentation for compliance with applicable standards Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance with polygraph is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.