Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on three therapeutic areas and other targeted investments, we push the boundaries of what is possible to bring life-changing therapies to patients worldwide. Objectives/Purpose: Assist in the implementation and management of AI and GenAI data products in alignment with R&D and enterprise stakeholders. Ensure compliance with company and regulatory requirements. Provide support in machine learning projects for complex and large-scale data analysis. Learn and contribute to machine learning frameworks in digital and innovation projects. Accountabilities: Support the development and implementation of data models and algorithms for pharmaceutical quality and R&D. Assist in leveraging generative AI and large language models to enhance data analysis and automate processes. Collaborate with cross-functional teams to ensure data integrity and accuracy. Provide support in designing and delivering digital projects. Learn and help maintain GxP standards in alignment with Takeda Software Development Lifecycle policies. Prepare and present detailed reports and visualizations to stakeholders. Assist in the integration and advancement of AI technologies in R&D Quality. Support the development and implementation of strategic AI initiatives to enhance Quality Management Systems (QMS). Assist in overseeing AI-driven projects and ensure timely delivery. Foster a culture of innovation and collaboration. Dimensions and Aspects: Technical/Functional Expertise: Basic knowledge of AI technologies in the pharmaceutical industry, experience with machine learning models, Agile methodologies, and GxPs. Leadership: Willingness to learn, strong relationship-building skills, and effective communication. Decision-making and Autonomy: Provide input to decisions and ensure swift implementation. Interaction: Experience working in teams and willingness to work in a global environment. Innovation: Support new ways of thinking and contribute to change. Complexity: High multicultural sensitivity and ability to navigate complex global ecosystems. Education, Behavioral Competencies, and Skills: Pursuing a Bachelor's degree in Data Science, Statistics, Computational Biology, Bioinformatics, Computer Science, or a related field. Some experience or internships applying machine learning/deep learning in life sciences. Interest in AI-driven projects in a pharmaceutical or biotechnology setting. Familiarity with generative AI and large language models. Basic understanding of GxPs, regulatory requirements, and quality standards in the pharmaceutical industry. Strong problem-solving skills and attention to details. Excellent communication skills to convey complex information to non-technical stakeholders. Internship Eligibility Must be authorized to work in the U.S. on a permanent basis without requiring sponsorship Must be currently enrolled in a degree program graduating December 2026 or later The internship program is 10-12 weeks depending on the two start dates (May 26 th -August 14 th or June 15 th - August 21 st ) The intern must be able to commit to one of these time frames Able to work full time 40 hours a week during internship dates Takeda does not provide a housing stipend or relocation support for the U.S Summer Internship Program Program Highlights: Hands-on experience with real projects and responsibilities Dedicated mentorship program pairing interns with experienced professionals Networking opportunities with industry professionals and fellow interns Internship events focused on professional and skills development Exposure to multiple business areas or departments within a Pharmaceutical Organization Applications will be accepted between November 7 th - January 2nd Takeda Compensation and Benefits Summary We understand compensation may be an important factor as you consider an internship opportunity. We are committed to equitable pay for all employees , and we strive to be more transparent with our pay practices. For Location: Lexington, MA U.S. Hourly Wage Range: $2 1 .00 - $ 46 .00 The estimated hourly range reflects an anticipated range for this position. The actual hourly wage offered will depend on the candidate’s school year /level to be entered following completion of internship . The actual hourly wage offered will be in accordance with state or local minimum wage requirements for the job location . U.S. internship benefits vary by locati on and may include: Paid sick time Civic Duty paid time off Participation at company volunteer events Participation at company sponsored special events Access to on-site f itness c enter (where a vailable ) Commuter Benefit: To offset your work-commute expenses, Takeda provides U.S. employees with a fixed monthly subsidy to be used for either public transportation (transit) or parking. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. Locations Lexington, MA Worker Type Employee Worker Sub-Type Paid Intern (Fixed Term) (Trainee) Time Type Full time Job Exempt NoIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Description Location: New York City Work Model: Hybrid (2–3 days in-office) Industry: Enterprise Technology / Infrastructure Compensation: $90,000–$125,000 base salary + equity About Our Partner Our partner is an early-stage technology company building enterprise-grade infrastructure for the physical world. As the company scales its go-to-market efforts, data and signal quality are becoming core competitive advantages. The team is investing early in building proprietary data infrastructure to power smarter growth, better targeting, and higher-quality pipeline. The Opportunity Our partner is hiring a Founding Data Engineer (Growth) to build the data foundation that powers its go-to-market engine. This is a highly impactful, early role focused on turning raw data into actionable signal. You will work closely with Growth, Product Marketing, Sales, and Engineering to design and operationalize systems that improve attribution, targeting, and pipeline quality. This role is ideal for a technically strong, business-curious data engineer who enjoys working close to revenue and thrives in ambiguous, fast-moving environments. Responsibilities Build and own attribution models across the GTM stack Design and implement lead scoring and predictive signal generation systems Create and maintain data pipelines that transform third-party datasets into proprietary signals Own tracking infrastructure and instrumentation across marketing, sales, and growth tools Integrate and leverage disparate internal and external data sources to generate high-quality pipeline signal Partner with Growth and GTM teams to ideate, test, and operationalize new data-driven initiatives Ensure data reliability, scalability, and usability across downstream systems Requirements 3+ years of experience in data engineering, analytics engineering, or related roles Strong proficiency in SQL and Python Experience working with APIs, data warehouses, and ETL pipelines Ability to design and implement data models that support business decision-making Comfort operating in early-stage environments with limited structure Strong problem-solving skills and a bias toward ownership and execution

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Manager, Master Data Management - REMOTE. In this role, you will play a critical part in leading customer master data management and ensuring successful integration across various platforms. Your influence will extend across a matrixed environment that includes operational companies and IT teams, where you will implement governance and establish scalable solutions. By driving innovation and collaboration, you will contribute significantly to improving diagnostic capabilities in health systems. Your work will directly impact the accuracy and efficiency of customer data, facilitating better outcomes across the diagnostics landscape. Accountabilities Lead the design and execution of customer data integration across CRM, ERP, and MDM platforms. Govern CRM architecture decisions impacting account hierarchies and customer records. Define and maintain enterprise account hierarchies and foster enterprise visibility. Establish and enforce customer master data standards, policies, and governance across operational companies. Champion data literacy and drive adoption of enterprise standards and processes. Requirements Bachelor’s degree in Business, Information Systems, Computer Science, or related field. 8–12+ years of experience in customer master data management, CRM, or data integration. Strong knowledge of Salesforce CRM, ERP platforms (SAP/Oracle), and MDM solutions. Experience integrating customer data across complex health systems and multi-entity organizations. Proven record of leading initiatives that deliver measurable impact on revenue or efficiency. Benefits Remote work arrangement to enable work from home flexibility. Competitive salary range of $140,000 - $170,000. Eligible for bonus/incentive pay. Comprehensive benefits package including medical, dental, and vision insurance. Paid time off and 401(k) options for eligible employees. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the Job Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure. Position Senior C# Full-Stack Engineer — AI Data & Infrastructure Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience) Role Responsibilities - Design, build, and optimize high-performance systems in C# supporting AI data pipelines and evaluation workflows - Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control - Improve reliability, performance, and safety across existing C# codebases - Collaborate with data, research, and engineering teams to support model training and evaluation workflows - Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes - Participate in synchronous reviews to iterate on system design and implementation decisions Qualifications Must-Have - Native or fluent English speaker - Full-stack developer experience with a strong systems programming background - 3-5+ years of professional experience writing production C++ (with a focus on modern standards like C++17 or C++20). - Strong systems programming background in performance optimization, concurrency (e.g., threading, atomics), and memory safety (e.g., RAII, smart pointers, sanitizers). - Clear written and verbal communication skills. - Ability to commit 20–40 hours per week. Preferred - Prior experience with data annotation , data quality, or evaluation systems - Familiarity with AI/ML workflows, model training, or benchmarking pipelines - Experience with distributed systems or developer tooling Application Process - Submit your resume - Complete a short technical screening - Project matching and onboarding $50 - $75 an hour

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Legal Data Services Manager - REMOTE. In this role, you will drive strategic and operational excellence across all data quality initiatives within the organization. You will oversee a dedicated team, focusing on enhancing data quality programs, integrating advanced technologies, and improving productivity. This position requires collaboration with various stakeholders, promoting innovative solutions within the legal sector. As a leader, you will emphasize business development and the application of CRM systems to foster growth and ensure exceptional client outcomes. Accountabilities Develop and implement a comprehensive data quality strategy that aligns with business objectives and client needs. Provide visionary leadership to the Data Quality Services team, promoting cross-functional collaboration. Manage day-to-day operations of the Data Quality Services team for timely program delivery. Collaborate with internal teams and external stakeholders to optimize resources and client outcomes. Develop and monitor data quality standards, ensuring accuracy and reliability. Oversee deployment of advanced data quality tools and technologies. Serve as the primary client contact for data quality initiatives. Facilitate client workshops and training sessions to share insights and recommendations. Identify and pursue new business opportunities within the legal sector. Design marketing materials that articulate the value of data quality services. Champion the adoption of generative AI tools to enhance processes. Collaborate on the design of campaigns to expand market presence. Design and manage data quality assurance processes. Monitor trends and assess service efficacy through comprehensive metrics. Foster an innovative environment by identifying process improvements. Requirements Bachelor’s degree in Data Science, Computer Science, Information Systems, or related field. Minimum of 7 years of experience in data quality management or related area. Proven leadership experience in data quality or data services teams. Proficiency with data quality tools and data integration solutions. Strong command of SQL; familiarity with programming languages is a plus. Experience with CRM systems and their application in business. Excellent analytical skills to transform complex data into actionable insights. Strong business acumen with experience in business development. Exceptional communication skills for diverse audiences. Benefits Promote a healthy work/life balance with numerous well-being initiatives. Shared parental leave and sabbaticals for long-term employee support. Study assistance and professional development opportunities. Eligible for an annual incentive bonus. Country-specific benefits tailored to enhance employee satisfaction. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Industry/Sector Not Applicable Specialism Deals Management Level Manager Job Description & Summary A career in Technology and Data Solutions practice, within Deals M&A Transaction Services, provides the opportunity to help organizations realize the potential of mergers, acquisitions, divestitures and capital markets. You will have the opportunity to leverage technology and data to drive better Deal decisions and execute transactions more effectively, helping companies originate, create, execute, and realize value from deals. Our team consists of well-rounded creative professionals who have a passion and aptitude for building technology driven solutions and pushing the boundaries of innovation in Deals. We are industry leaders in embedding technology, leveraging data analysis, machine learning, and artificial intelligence for a broad range of Deal-focused solutions. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Develop new skills outside of comfort zone. Act to resolve issues which prevent the team working effectively. Coach others, recognise their strengths, and encourage them to take ownership of their personal development. Analyse complex ideas or proposals and build a range of meaningful recommendations. Use multiple sources of information including broader stakeholder views to develop solutions and recommendations. Address sub-standard work or work that does not meet firm's/client's expectations. Use data and insights to inform conclusions and support decision-making. Develop a point of view on key global trends, and how they impact clients. Manage a variety of viewpoints to build consensus and create positive outcomes for all parties. Simplify complex messages, highlighting and summarising key points. Uphold the firm's code of ethics and business conduct. The Opportunity As part of the Deals (M&A) Tech & Data team you work at the intersection of M&A, advanced analytics, and cutting-edge technology. We help clients unlock value in high-stakes transactions by turning raw data into strategic insight, enabling faster, smarter decisions that shape the future of their businesses. You’ll work with a diverse set of industries, high-profile clients, and complex datasets, leveraging technology to deliver impact at deal speed. As a Manager, you supervise, develop, and coach teams, maintaining top-quality deliverables and leveraging team strengths to meet client expectations. You thrive in a team setting, communicate effectively with both technologists and business partners, and drive client engagement workstreams. You will have the opportunity to harness the power of data, leverage data engineering, data analysis, Generative AI, advanced machine learning, and predictive analytics to deliver differentiated insights in complex M&A scenarios. You will experiment with and deploy emerging AI tools for structured and unstructured data extraction, scenario modeling, automated reporting, and client storytelling—turning complex deal data into compelling, actionable narratives. You will collaborate closely with leading Private Equity clients, applying advanced analytics and emerging technologies to evaluate investment opportunities, assess risk, and accelerate portfolio company performance. Beyond client delivery, you will also contribute to the growth of the practice by leading pursuits, co-developing innovative offerings in AI-enabled deal analytics, and supporting the creation of thought leadership on trends shaping the M&A and Private Equity landscape. Responsibilities - Lead client engagement workstreams, manage multiple projects, and build strong stakeholder relationships - Work with deal teams to design and deliver analytics solutions that drive investment decisions, operational improvements, and portfolio value creation - Analyze complex problems and communicate actionable insights through data visualization, programming, and advanced analytics - Build and automate scalable data pipelines, cleansing, reporting, and workflows using platforms such as Databricks, low-code/no-code tools, and AI-assisted pipelines - Apply Generative AI and machine learning models for data synthesis, risk assessment, churn prediction, synergy estimation, and financial forecasting - Establish and maintain exceptional standards in deliverables while mentoring junior team members and fostering a collaborative, resilient team culture What You Must Have - Bachelor's degree in relevant fields, including engineering, Computer Science, Data Science, Applied Mathematics/Statistics, Analytics, Finance, or Accounting - 5+ years' experience across data and technology including client-facing consulting work What Sets You Apart - Advanced degree (master's preferred) with consulting and deals/M&A experience - Track record of managing teams, multiple engagements, and competing priorities - Demonstrated ability to influence stakeholders, align diverse viewpoints, and contribute to business development, practice growth, and thought leadership - Strong proficiency in SQL, Python, or R, including experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and NLP tools (spaCy, HuggingFace) - Hands-on experience with data engineering pipelines (Azure Synapse, dbt, Apache Airflow) and AI/ML platforms (Databricks), including scalable processing and collaborative notebooks - Familiarity with Generative AI platforms (OpenAI, Azure OpenAI, Claude, Gemini) and integration with cloud-native AI services (AWS SageMaker, Azure ML, Google Vertex AI) - Proficiency in data visualization (Power BI, Tableau), SQL/Python queries, and data storytelling—translating analytics into persuasive outputs for senior stakeholders - Experience deploying AI/ML solutions in live business environments, ideally in M&A contexts, with strong financial acumen and understanding of key financial statements - Skilled at critical thinking, problem-solving, and rapid prototyping with modern analytics and AI tools - Strong proficiency in SQL, Python, or R, including experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and NLP tools (spaCy, HuggingFace) - Hands-on experience with data engineering pipelines (Azure Synapse, dbt, Apache Airflow) and AI/ML platforms (Databricks), including scalable processing and collaborative notebooks - Familiarity with Generative AI platforms (OpenAI, Azure OpenAI, Claude, Gemini) and integration with cloud-native AI services (AWS SageMaker, Azure ML, Google Vertex AI) - Demonstrated ability to influence stakeholders, align diverse viewpoints, and contribute to business development, practice growth, and thought leadership - Certifications in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS) - Ability to travel up to 20% Travel Requirements Up to 20% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-workPwC 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. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. 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

The Wasserstrom Company, is a leading food service equipment provider in the nation. In business since 1902, we are family owned with corporate offices located in Columbus, Ohio. We have an immediate opening for an EDI Master Data Process Lead. This position is responsible for processing and maintaining EDI (Electronic Data Interchange) documents for both inbound and outbound for customers, ensuring that it meets the necessary standards of data integrity for all uses within SAP. Focusing on fixing errors for inbound orders/invoices and outbound invoices/POs. Researching recuring errors with the EDI Technical team. Also, the Coordinator will serve as a liaison for all issues from the EDI customers/vendors and take responsibility to address issues. Responsibilities Include: · Monitor and triage emails in joint EDI mailbox, assess issues for resolution, and escalate service-related concerns to the appropriate internal teams to ensure timely and professional support. · Oversee and maintain the team project board to ensure accurate tracking of tasks, deadlines and deliverables; serve as the primary facilitator for weekly internal project status meetings by driving discussions and aligning stakeholders on priorities, progress, and next steps. · Support On-Boarding of non-EDI customers by gathering required information and coordinating with the SAP technical team to ensure successful testing and implementation · To create SAP Master Data accounts in SAP production, test, and development systems in relation to processing/correcting EDI orders and invoices, ensuring that all data is created to a high standard · Maintain and regularly audit EDI customer accounts for EDI accuracy · Ensure all POs/ Orders which were submitted by customer are in SAP · Ensure all documents are correct and accurate including: Purchase Orders, Confirmations, Acknowledgment Shipping Notifications, & Invoices · Ensure all Invoices sent to customer in SAP are also in the customer middleware and error free · Work with multiple different middleware systems handle the orders and invoices · To periodically review SAP EDI Master Data processes to ensure that they meet the ongoing needs of Wasserstrom and ensure best practice across the company · To report on SAP EDI Master Data on an as needed basis, specify any reports that may be needed to improve EDI Master Data processes and monitoring · And all other job duties as required Education and Experience: Associate Degree or Bachelors Degree or equivalent experience 1 - 2 years related experience and/or training; or equivalent combination of education and experience Other Skills: · Proficient computer skills; ability to use MS Office Suite, including Outlook · Technical ability to learn and use a variety of software programs, such as SAP (a general knowledge is a plus) · Communicates well with others; speaks and writes clearly; asks for and offers help when needed · Interpersonal; resolves questions and concerns in a professional manner; maintains confidentiality · Detail oriented; meets quality standards and demonstrates accuracy and thoroughness · Organized; completes work in a timely manner; able to prioritize and meet deadlines · Problem-solver; gathers and analyzes information skillfully and generates suggestions for improving work · Capable of working independently and as a member of a team; contributes to building a positive team spirit

Enterprise Operations is a dynamic organization which supports not only John Hancock customers, but also many cross-functional departments within the US Division and Global space. The Data Governance Lead is responsible for the operation of the data governance practice and its implementation, ensuring data is well-organized, safe, accessible, and valuable. Position Responsibilities: Act as advocate for all data domains and information used by US Operations to maintain accuracy and ensure proper utilization. Inventory and prioritize data assets, coordinating with Operations Leadership and other roles within the Global Data Governance structure. Develop comprehensive understanding of data flow from both business and systematic perspective to ensure integrity of that flow is maintained. Act as intermediary to ensure alignment between Global Data Governance, Global operations and US Operation and IT Segments regarding data standards, roadmaps, and prioritization of initiatives. Capture, define, describe Business terms, Classifications, and Business Rules. Support Technical Data Custodians and data analysts in decomposing business rules into data quality rules, and creating data catalogues and lineage as data is implemented Ensure that data quality levels are assessed for all our prioritized critical data elements, and that data quality remediation is implemented when needed Ensure all key data risks are well understood and mitigated appropriately, working effectively with the Data Protection, IT Security, Risk, Data Architecture and Data Management functions including ensuring regulatory compliance. Navigate meetings of various stakeholders and preferences to ensure a unified approach and ultimate execution of the deliverable. Provide effective and concise communication with stakeholders, management, and business partners. Measure and communicate results and tie them back to key performance metrics, such as Service Level timings, budgets or Key Results based on Value Stream metrics. Responsible for directing activities of other team members depending on project initiatives. Required Qualifications: Bachelor’s degree or equivalent business experience. 5-7 years of business experience including progressive business analysis experience. Strong presentation and communications skills; able to articulate business cases clearly, concisely, and effectively to audiences of various levels. Strong facilitation skills and ability to drive toward unified team consensus. Ability to build effective business relationships with key stakeholders and business management. Comprehensive knowledge of industry including product development, distribution, customer and administration services and regulatory structure. Progressive business analysis and/or project management experience supporting significant business initiatives Experience in financial services/insurance industry. Able to translate issues and problems into effective business solutions and drive them to successful outcomes. Ability to handle multiple demands and competing priorities of various large initiatives running concurrently. Ability to take initiative, work independently, and learn/assimilate information quickly. Preferred Qualifications: Bilingualism (English and French) is an asset. If the successful candidate is in Québec, proficiency in both languages will be required to support clients from various provinces outside of Quebec. When you join our team: We’ll empower you to learn and grow the career you want. We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words. As part of our global team, we’ll support you in shaping the future you want to see. About Manulife and John Hancock Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html . Manulife is an Equal Opportunity Employer At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com . Referenced Salary Location USA, Massachusetts - Full Time Remote Working Arrangement Remote Salary range is expected to be between $73,350.00 USD - $122,250.00 USD If you are applying for this role outside of the primary location, please contact recruitment@manulife.com for the salary range for your location. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence. Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify Company: John Hancock Life Insurance Company (U.S.A.)

A career at Auto-Owners is challenging and rewarding. Our group of caring associates create financial security by helping individuals and businesses make a new start when a loss occurs. Job Description We offer a merit-based work-from-home program based on job responsibilities. After initial training in-person, this specific role could have the flexibility to work from home up to 3 days per week. Please note we are not currently hiring fully remote positions. All candidates must have the ability to work in our home office in Lansing, Michigan from time to time. Auto-Owners Insurance, a top-rated insurance carrier, is seeking a data scientist to join our analytics teams. The position requires the person to: Use statistical and machine learning techniques to build models that address business needs and comply with regulatory requirements Work with large, complex data sets and develop a comprehensive knowledge of Auto-Owners data structures and metrics Conduct ad-hoc analysis and present results clearly at multiple-levels of stakeholders through visual displays of quantitative information Design, prototype, and implement new approaches for solving problems. Collaborate with a cross-functional team, including software developers, architects, and business leaders Create clear and easy to understand documentation for models Monitor model performance and implement iterative improvements Desired Skills & Experience Master’s degree in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical Engineering, etc.) Proficiency in SQL or other data querying language An understanding of statistical and machine learning techniques, including classification, regression, clustering, feature engineering, decision trees, gradient boosting, deep learning, etc. Experience with common data science toolkits, such as R, Python, TensorFlow, SQL, Scikit-learn, Keras, etc. Aptitude and willingness to learn new things and teach others Strong written and oral communication skills 2-4 years of professional experience building models with large data sets. Candidates with 0-1 years of experience, please use the job posting for “Predictive Modeler”. (Preferred) PhD in a quantitative discipline (Preferred) Experience in the insurance industry Compensation/Benefits The salary offered will be commensurate with skills and experience. We offer a friendly, hybrid work environment with primary work from home ability and monthly opportunities for team overlap in the office. Along with a competitive base salary, our excellent benefits package includes a matched 401(k), fully-funded pension plan (once vested), bonus programs, student loan assistance, gym cost reimbursement, and generous paid time off including holidays, vacation days, personal time, and sick leave. We also offer structured education & training programs, mentoring, and opportunities for advancement and lateral movement to help you progress through your career. If you're looking to do rewarding work alongside great people, Auto-Owners is the place for you! Equal Employment Opportunity Auto-Owners Insurance is an equal opportunity employer. The Company hires, transfers, and promotes on the basis of ability, without consideration of disability, age, sex, race, color, religion, height, weight, marital status, sexual orientation, gender identity or national origin, or any factor contrary to federal, state or local law. *Please note that the ability to work in the U.S. without current or future sponsorship is a requirement. #LI-DNI #IN-DNI

About the Job Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure. Position Senior C++ Full-Stack Engineer — AI Data & Infrastructure Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience) Role Responsibilities - Design, build, and optimize high-performance systems in C++ supporting AI data pipelines and evaluation workflows - Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control - Improve reliability, performance, and safety across existing C++ codebases - Collaborate with data, research, and engineering teams to support model training and evaluation workflows - Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes - Participate in synchronous reviews to iterate on system design and implementation decisions Qualifications Must-Have - Native or fluent English speaker - Full-stack developer experience with a strong systems programming background - 5+ years of professional experience writing production C++. - Strong background in asynchronous network programming using event loops or RPC frameworks for high-performance microservices. - Experience interfacing with high-throughput databases or message queues. - Clear written and verbal communication skills. - Ability to commit 20–40 hours per week. Preferred - Prior experience with data annotation , data quality, or evaluation systems - Familiarity with AI/ML workflows, model training, or benchmarking pipelines - Experience with distributed systems or developer tooling Application Process - Submit your resume - Complete a short technical screening - Project matching and onboarding $50 - $75 an hour

Benefits: 401(k) Competitive salary Paid time off WHO IS JLM STRATEGIC TALENT PARTNERS & WHAT IS OUR ROLE We partner with National & International prime contractors to provide them with qualified talent they can trust. We accomplish this by sourcing & vetting high level career seeking candidates in the industry and match them with our partners current open roles. Our objective is to help our general contractor partners build out project teams for high level infrastructure projects across the US. We aspire to partner with candidates who are eager to learn, grow, and progress in their career path while deepening their knowledge in their given field. We deeply value our partnerships and place great emphasis on maintaining strong relationships and long term hires.This is reflective in our competitive offerings to our hires including: Ongoing HR support Competitive benefits packages including- Health, Dental, Vision & Life insurance Our very own JLM Rewards incentive program THE IDEAL CANDIDATE The ideal candidate has a proven track record of working in a team environment. They thrive in a fast paced and a team oriented environment. They get excited about construction projects as well as completing assignments on time. An individual who will do well in this position is self oriented, organized, a great communicator, and approachable. Comfortable working within a team environment at the project site. KEY RESPONSIBILITIES/SKILLS Data Analysis: Analyze data from various sources, using spreadsheets and smart sheets, to identify trends, patterns, and areas for improvement. Reporting: Run regular and ad-hoc reports, interpret the data, and present findings to managers and colleagues in a clear and concise manner. Problem Solving: Address and resolve challenges using data. Communication: Collaborate with cross-functional teams, communicating findings andrecommendations clearly to both technical and non-technical audiences. Independent Work: Ability to work independently, manage time effectively, and deliver high-quality work with minimal supervision. Learning and Adaptation: Quickly learn and adapt to new software tools and platforms that support project management and data analysis. Continuous Improvement: Identify areas of improvement within existing processes and software tools, recommending and implementing changes that enhance project outcomes. Qualifications : Bachelor’s degree in Business Administration, Finance, Engineering, or any other related field. Proven experience as a Business Analyst or in a similar role, preferably within a project based environment. A proactive approach to personal career growth, seeking opportunities to develop new skills and advance within the company. Strong proficiency with spreadsheets (Excel, Google Sheets) and smart sheets. Excellent problem-solving skills with a focus on data-driven decision-making. Experience in document management and process improvement. Strong communication skills, both written and verbal. Ability to work independently and manage multiple tasks and projects simultaneously. Detail-oriented with a commitment to accuracy and efficiency. PERKS OF JOINING JLM We offer a competitive compensation package as well as benefits including Health Insurance, Vision, Dental, Life, and Paid Time Off! Flexible work from home options available. Compensation: $30.00 - $42.00 per hour JLM is a DBE-accredited agency specializing in finding world-class talent and managing infrastructure project staffing needs. As the industry leader in staffing for architecture, engineering, and construction projects, JLM has 18,500+ pre-vetted, highly-skilled, and available people ready to power your project within 7 days.

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. Primary roles and responsibilities Build scalable ingestion, transformation, and delivery pipelines for structured, semi-structured, and unstructured data. Develop reusable ELT/ETL frameworks with built-in validation, testing, and monitoring. Automate pipeline health checks, alerting, and SLA tracking for reliability and freshness. Partner with architects to optimize data storage, partitioning, and compute performance. Integrate CI/CD pipelines for data workflows (testing, deployment, rollback automation). Collaborate with governance to capture lineage and embed validation as part of deployment. Support analytics, AI, and geospatial product teams with timely, trusted data delivery. Required qualifications: 8+ years of experience in data engineering, analytics engineering, or data platform roles, with 2–3+ years in a technical lead capacity. Proven experience designing, building, and operating scalable data ingestion and transformation pipelines across structured, semi-structured, and unstructured data sources. Hands-on, production experience with Fivetran (or equivalent managed ingestion tools) for source system ingestion, connector management, schema evolution, and data reliability. Deep, hands-on experience with dbt for: Building modular, reusable transformation models, Implementing data tests, freshness checks, and documentation Strong experience implementing modern ELT architectures on cloud data platforms such as Snowflake or Databricks. Demonstrated ability to build reusable data frameworks with embedded:, Automated data quality validation and testing, Monitoring, alerting, and SLA tracking, Operational reliability and observability Strong understanding of data modeling, partitioning, performance optimization, and cost management for large-scale analytical workloads. Experience partnering with data architecture and governance teams to: Capture lineage and metadata, Embed governance and quality checks into data pipelines, Enforce standards through code and automation Experience supporting analytics, AI/ML, or geospatial product teams with timely, trusted, and production-ready data. Advanced proficiency in SQL and Python. Strong communication and collaboration skills, with the ability to lead technical design discussions and mentor engineers. Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience. Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range. ● The base pay for this position within Colorado is: $107,000.00 - $179,000.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions. The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

Founded in 1999, Audax Group is a leading alternative investment manager with offices in Boston, New York, San Francisco, London and Hong Kong. With approximately $42 billion of assets under management and more than 475 employees, Audax is a leading capital partner for middle market companies, operating through three business lines: Audax Private Equity, Audax Private Debt, and Audax Strategic Capital. For more information, visit the Audax Group website www.audaxgroup.com. or follow us on LinkedIn . POSITION SUMMARY: Audax is looking for a dynamic, motivated Data Engineer Co-Op to join the business solutions team. This position will be responsible for supporting the company’s Senior Data Engineer with hands-on experience in data engineering, data governance, and data management. You will collaborate with the data team design, develop, and maintain data pipelines, ensure data quality and integrity, and contribute to the expansion of the company's data warehouse. RESPONSIBILITIES: Designing, implementing, maintaining and scaling the Audax data ecosystem Designing, implementing, maintaining and scaling Audax’s data ecosystem. Work with professionals to scale their data infrastructure within the company’s cloud enterprise data warehouse. Play an integral role in designing ETL processes and analytic pipeline for investment professionals. Assist with implementation of data governance policies, including data cataloging and data lineage. Provide data validation and data quality assessments. Identifying and resolving data anomalies. Technology Competencies Proficient in SQL and Python required. Familiarity in Java a plus. Familiarity in on-premise and cloud-based databases. Experience designing and implementing optimal data schemas. Knowledge of/Experience with implementing best practices in data governance REQUIREMENTS/QUALIFICATIONS: Currently pursuing a Bachelor’s or Master’s degree in Data Engineering, Analytics Engineering, Information Technology, Computer Science or another related field. Strong analytical and problem-solving skills. Previous Co-Op or full-time experience in related field is a plus. Experience taking large data sets, and cleaning/distilling these datasets. Experience with python a plus Experience with Alteryx and it’s advanced capabilities a plus. Strong written and oral communication skills required. Ability to interact in an efficient and meaningful way with all levels of the organization required. LOCATION: Boston, MA. Hybrid, in the office 3 days/week. These in-office requirements may be adjusted based on the needs of the business. Dates: July 2026 - December 2026 The base salary range for this position is $28.00 - $34.00/hourly . The hourly rate represents the estimated low and high end for this position at the time of this posting. Consistent with applicable law, compensation may vary and will be determined based on but not limited to, the skills, qualifications, and experience of the applicant along with the requirements of the position, and Audax reserves the right to modify this pay range at any time. An employee may also be eligible for annual discretionary incentive compensation based on performance. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Audax Management Co. is an equal opportunity employer. Please note that Audax Group and its affiliated entities do not accept unsolicited resumes from a third-party recruiting agency not currently under a signed agreement. Any unsolicited resume that is sent to directly to Audax Group or one of its affiliated entities, or its employees, including those submitted to hiring managers by a third-party recruiting agency not currently under a signed agreement, will be considered property of Audax Group. If a third-party recruiting agency submits a resume without an agreement, Audax Group or its affiliated entities explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the third-party recruiting agency. Any third-party recruiting agency should contact either a member of the Talent Acquisition or Human Resource team at Audax Group, in conjunction with a valid, fully executed contract for service based upon a specific job opening.

Founded in 1999, Audax Group is a leading alternative investment manager with offices in Boston, New York, San Francisco, London and Hong Kong. With approximately $42 billion of assets under management and more than 475 employees, Audax is a leading capital partner for middle market companies, operating through three business lines: Audax Private Equity, Audax Private Debt, and Audax Strategic Capital. For more information, visit the Audax Group website www.audaxgroup.com. or follow us on LinkedIn . POSITION SUMMARY: Audax Group is seeking a skilled, detail-oriented Data Analyst Co-Op to join the Business Development team. The co-op will collaborate with the larger team to design, develop, and maintain data pipelines, ensure data quality and integrity, and contribute to the expansion of the firm’s data warehouse following our CRM migration. Additionally, the co-op will play a key role in building reports, dashboards, and processes to support the team's strategic objectives. The ideal candidate not only has strong technical prowess, but is also a self-motivated team player who can work independently in a fast-paced environment. RESPONSIBILITIES: Assist in designing, maintaining, and scaling the Audax CRM/data ecosystem Conduct data validation and quality assessments to ensure accuracy in our new CRM Audit, identify, and articulate data anomalies following our CRM migration Assist with implementation of data governance policies, including data cataloging and data lineage Collaborate on projects and design processes that drive the strategic objectives of the Business Development team TECHNOLOGY COMPETENCIES: Advanced in Excel Proficiency in SQL and/or Snowflake Familiarity with Power BI and/or Tableau a plus Familiarity with Salesforce a plus Experience designing and implementing optimal data schemas a plus Knowledge of/Experience with implementing best practices in data governance REQUIREMENTS/QUALIFICATIONS: Currently pursuing a Bachelor’s degree in Data Engineering, Computer Science, Information Technology, or another related field Previous internship or co-op experience in an analytical role Strong analytical and problem-solving skills Experience manipulating large data sets, and cleaning/distilling these datasets Excellent written and oral communication skills required Ability to communicate in an efficient and meaningful way with all levels of the organization required Location: Boston, MA. This position is in the office 3 days/week. These in-office requirements may be adjusted based on the needs of the business. Hours: 40 hours/week Date: July 2026 - December 2026 The base salary range for this position is $24.00 - $28.00/hourly . The hourly rate represents the estimated low and high end for this position at the time of this posting. Consistent with applicable law, compensation may vary and will be determined based on but not limited to, the skills, qualifications, and experience of the applicant along with the requirements of the position, and Audax reserves the right to modify this pay range at any time. An employee may also be eligible for annual discretionary incentive compensation based on performance. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Audax Management Co. is an equal opportunity employer. Please note that Audax Group and its affiliated entities do not accept unsolicited resumes from a third-party recruiting agency not currently under a signed agreement. Any unsolicited resume that is sent to directly to Audax Group or one of its affiliated entities, or its employees, including those submitted to hiring managers by a third-party recruiting agency not currently under a signed agreement, will be considered property of Audax Group. If a third-party recruiting agency submits a resume without an agreement, Audax Group or its affiliated entities explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the third-party recruiting agency. Any third-party recruiting agency should contact either a member of the Talent Acquisition or Human Resource team at Audax Group, in conjunction with a valid, fully executed contract for service based upon a specific job opening.

Company Overview Soros Fund Management LLC (SFM) is a global asset manager and family office founded by George Soros in 1973. With $28 billion in assets under management (AUM), SFM serves as the principal asset manager for the Open Society Foundations, one of the world’s largest charitable foundations dedicated to advancing justice, human rights, and democracy. Distinct from other investment platforms, SFM thrives on agility, acting decisively when conviction is high and exercising patience when it’s not. With permanent capital, a select group of major clients, and an unconstrained mandate, we invest opportunistically with a long-term view in a wide range of strategies and asset classes, including public and private equity and credit, fixed income, foreign exchange, and alternative assets. Our teams operate with autonomy, while cross-team collaboration strengthens our conviction and empowers us to capitalize on market dislocations. At SFM, we foster an ownership mindset, encouraging professionals to challenge the status quo, innovate, and take initiative. We prioritize development, enabling team members to push beyond their roles, voice bold ideas, and contribute to our long-term success. This culture of continuous growth and constructive debate fuels innovation and drives efficiencies. Our impact is measured by both the returns we generate and the values we uphold, from environmental stewardship to social responsibility. Operating as a unified team across geographies and mandates, we remain committed to our mission, ensuring a meaningful, lasting impact. Headquartered in New York City with offices in Greenwich, Garden City, London, and Dublin, SFM employs 200 professionals. Team Description Our HR team is a dynamic and experienced group of professionals, including seasoned HR business partners, generalists, payroll specialists, employment lawyers, and administrative support. Together, we work collaboratively to manage all aspects of the employee lifecycle, from recruiting, onboarding, and offboarding, to compensation planning and design. We also oversee payroll, benefits design and administration, work visa matters, and employee relations, ensuring a supportive and compliant work environment. Additionally, the team plays an important role in the design and execution of bespoke training and development opportunities and performance management tools, constantly striving to create a workplace that fosters growth, innovation, and a positive employee experience. Job Overview We are seeking a analytical and detail-oriented Data & Workday Specialist to own and elevate all aspects of HR data management and reporting. This is a unique opportunity for a data-driven HR professional to shape how we capture, analyze, and leverage people data across the firm—driving sharper insights, better decisions, and a stronger connection between data and strategy. In this role, you will be responsible for the integrity, analysis, and presentation of all HR data within Workday and related systems. You’ll serve as the firm’s Workday expert—building reports, maintaining data accuracy, and developing dynamic dashboards that bring transparency and clarity to key HR metrics such as headcount, hiring trends, and attrition. Your work will enable real-time visibility into the organization, empowering leaders with the information they need to make informed, strategic decisions. You’ll partner closely with HR leadership, Finance, and business managers to ensure our systems and reporting are not just accurate—but insightful, intuitive, and aligned with the firm’s goals. You will also become a trusted advisor on how we can best use Workday to streamline processes, design org structures, and manage security roles effectively. Major Responsibilities Workday Ownership – Serve as the firm’s Workday data expert. Build, test, and maintain Workday reports and dashboards that provide actionable insights on headcount, attrition, and workforce trends Data Integrity & Management – Own all HR data, ensuring accuracy, completeness, and consistency across systems. Regularly clean, audit, and maintain employee records and reporting structures Analytics & Reporting – Design dynamic reporting tools that visualize key metrics in real time—helping HR and business leaders identify trends and make informed, data-driven decisions Headcount & Workforce Insights – Develop and maintain headcount dashboards by department, analyzing hiring patterns, turnover, and internal movement Compensation & New Hire Data – Manage and track new hire data, including compensation, benefits, and bespoke pay structures such as deferred compensation or sign-on payments Cross-System Reporting – Collaborate with recruiting to create pipeline and offer reporting; over time, become familiar with the recruiting platform, Greenhouse, to connect data across the full employee lifecycle. Workday Optimization – Advise on system enhancements, org tree design, and security role structure to ensure Workday supports efficient, secure, and strategic HR operations.Excel & Data Fluency – Comfortably manipulate and analyze data using Excel (including formulas and pivot tables) and other analytical tools What We Value 3-5 years of Workday experience, preferably in a support or HRIS roleStrong knowledge of Workday HCM, security administration, and reporting tools Experience working in financial services is preferredFamiliarity with HR processes and payroll functions Strong analytical skills with experience in data auditing and reportingExcellent problem-solving abilities and attention to detail Ability to work independently and collaborate across teamsStrong communication skills with experience training users on Workday functionality We anticipate the base salary of this role to be between $95,000-$125,000. In addition to a base salary, the successful candidate will also be eligible to receive a discretionary year-end bonus. In all respects, candidates need to reflect the following SFM core values: Smart risk-taking // Owner’s Mindset // Teamwork // Humility // Integrity

Job Summary We are seeking a detail-oriented Data Entry Specialist to support document management operations through accurate imaging, scanning, indexing, and data entry . This role is ideal for someone who is highly organized, comfortable working with digital records, and committed to maintaining data accuracy and confidentiality. Hours: 8am-5pm Monday-Friday Responsibilities: Prepare, scan, and image paper documents into electronic document management systems Index scanned documents accurately using established naming conventions and metadata standards Perform high-volume data entry with a high level of accuracy Review scanned images for quality, completeness, and legibility Organize, sort, and batch documents prior to scanning Ensure proper handling of sensitive and confidential information Perform quality control checks and correct indexing or imaging errors Maintain organized digital and physical filing systems Track and log document processing activity and production volumes Follow established procedures for records retention and document control Meet daily or weekly productivity and accuracy targets $26 - $30 an hour

Benefits: Dental insurance Health insurance Vision insurance Here's a professional job posting for a Payroll Data Entry Clerk position. You can customize it to fit your company and specific needs: Job Title: Payroll Data Entry Clerk Location: Indio, CA – On-Site Job Type: Full-Time Industry: Construction Company Overview: We are seeking a detail-oriented and reliable Payroll Data Entry Clerk to join our team and ensure the accurate processing of payroll information. Job Summary: The Payroll Data Entry Clerk will be responsible for entering and maintaining accurate payroll data in our systems, supporting payroll processing, and ensuring compliance with applicable laws and internal procedures. Key Responsibilities: Accurately input employee payroll information including hours worked, pay rates, deductions, bonuses, and benefits Maintain and update payroll records and databases Verify and reconcile payroll data from timekeeping systems Assist in preparing payroll reports for management Respond to employee inquiries regarding payroll issues Maintain confidentiality of employee payroll data Collaborate with HR and accounting departments as needed Qualifications: High school diploma or equivalent; associate degree preferred 1+ year of experience in payroll, data entry, or administrative support (preferred) Familiarity with payroll systems (e.g., ADP, Paychex, QuickBooks) a plus Strong attention to detail and data accuracy Excellent organizational and time management skills Proficient in Microsoft Excel and basic computer skills Ability to maintain confidentiality and handle sensitive information Bilingual Work Schedule & Compensation: [Hours – Monday to Friday, 7:30 AM – 4 PM] $18-$22 per hour Benefits -health insurance Compensation: $18.00 - $22.00 per hour Join the Elite Team! We want to make joining our team as easy as possible. Our team members are the most valuable assets in our organization. It’s true, our employees come first! Join our team and be part of a dynamic, innovative environment where your ideas matter! We foster a culture of collaboration, growth, and creativity, providing opportunities to develop your skills and advance your career. With a supportive team, exciting challenges, and a mission-driven approach, you'll find purpose in your work and the motivation to achieve your full potential. Come make an impact with us! So, if you have a great attitude and a strong work ethic, and are someone who takes pride in the work you do, then we want to hear from you! Each franchise location is independently owned and operated by a franchisee. Your application will go directly to the franchisee, and all hiring decisions will be made by the management of this franchisee. The franchisee sets their own compensation and benefits. All inquiries about employment, benefits, scheduling and compensation at this franchise should be made directly to the franchise location, and not to Mister Sparky Corporate.

About Us: Observe is an AI-powered observability platform engineered for scale. Built on an open, scalable data lake, Observe ingests and stores telemetry at dramatically lower cost while allowing reuse through open data formats like Apache Iceberg. Its Knowledge Graph tracks relationships between objects in the system—and how they change over time—providing essential context for investigations. Pairing agentic workflows with context from the Knowledge Graph, Observe’s chat-based AI SRE accelerates root cause analysis and resolution. Engineering teams at Capital One, Topgolf, and Dialpad ingest hundreds of terabytes daily and troubleshoot 3x faster at 60% lower cost, depending on Observe to maintain reliability at scale. Team: We’re hiring a Software Engineer for our Data Intake team , which builds the agent, ingestion infrastructure, and in-product onboarding experience that connects customer systems to Observe. We’re looking for engineers who enjoy deep systems work and care about how that work is experienced by users. This is a hybrid role combining: Agent and data pipeline development (OpenTelemetry-based, Go). Infrastructure and configuration (Helm, Kubernetes, cloud templates). Backend APIs and data models that power user-facing onboarding and troubleshooting experiences. The team’s goal is to make data ingestion self-serve, transparent, and diagnosable , so customers can understand exactly where their telemetry is flowing or failing. In this role you will: Work on the Observe Agent (OTel collector distribution), including custom receivers, processors, and exporters. Build Config- and infra-heavy systems (OTel config, Helm charts, Kubernetes, AWS templates). Control-plane APIs and data models that represent ingestion state, errors, and events. Debug complex ingestion issues across agents, pipelines, and backend systems Scale systems that translate low-level distributed behavior into clear user-facing signals Qualifications Strong software engineering fundamentals, with experience in backend or systems development Proficiency in Go or another statically typed language, with willingness to work deeply in Go Experience with distributed systems or data pipelines Familiarity with Kubernetes and cloud environments (AWS, GCP, or similar), or strong interest in developing this expertise Comfort reading and reasoning about open-source code and external systems Enjoy debugging distributed systems and data pipelines, especially ones you didn’t originally write Are comfortable moving between configuration, infrastructure, and code to understand real-world system behavior Care about making complex systems observable, diagnosable, and explainable Like turning messy production reality into clear signals and APIs that others can rely on Bonus Points Experience with OpenTelemetry , observability agents, or telemetry pipelines Experience building or operating control planes for distributed systems Prior work on onboarding, configuration management, or user-facing diagnostics for infrastructure products Background in platform, infrastructure, or SRE-adjacent teams Equal Opportunity Employer Observe, Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, ancestry, national origin, religion, age, sex, gender identity or expression, sexual orientation, marital status, disability, veteran status, genetic information, or any other legally protected status. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process. If you need an accommodation, please let your recruiter know. By applying, you consent to the processing of your personal information for recruiting purposes in accordance with applicable laws. The expected pay range is based on information at the time this post was generated. This role will also be eligible for other forms of compensation such as equity and a competitive benefits package. Actual compensation for a successful candidate will be determined based on a number of factors such as skillset, experience, and qualifications. Compensation Range $174k - 208k

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Sr. Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.As a Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. This role is expected to present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. Key Responsibilities: 35% Solution Development- Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation 30% Project Management & Team Support- Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team 20% Business Collaboration- Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage 15% Technical Exploration & Development- Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented Direct Manager/Direct Reports: This position reports to manager or above This position has 0 Direct Reports Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: 6+ years of experience in business intelligence and analytics Working knowledge of Microsoft Excel and Power Point Proficient in a modern scripting language (preferably Python) Proficient running queries against data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Mastery utilizing statistical techniques to identify key insights that help solve business problems Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Demonstrated proficiency in predictive modeling, data mining and data analysis Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 5 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Cultivates Innovation: Creating new and better ways for the organization to be successful Customer Focus: Building strong customer relationships and delivering customer-centric solutions Develops Talent: Developing people to meet both their career goals and the organization's goals Directs Work: Provides direction, delegating and removing obstacles to get work done Drives Results: Consistently achieving results, even under tough circumstances Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels