Auto-apply to these data entry jobs

About Sprinter Health At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can't get to a doctor's office. For many, the ER becomes their first touchpoint with the healthcare system-driving over $300B in avoidable costs every year. By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we've supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125M to date investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway. Data is core to how we deliver care, allocate clinicians, and understand population risk-and we're now building the team to scale that impact. About the Role We're hiring a Senior / Staff Data Scientist to tackle high-impact problems across logistics, patient behavior, clinical operations, and population health. This is a 0→1 role where your work directly shapes how care is delivered, optimized, and scaled. You'll turn messy, real-world healthcare data into insights that drive product direction, operational efficiency, and patient outcomes. If you like asking hard questions and using data to solve problems that matter in the real world, this is that opportunity. Office Location We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park. We care about work-life balance and understand that there will be times where flexibility is needed. What you will do Explore clinical, operational, and patient engagement data to surface actionable insights Analyze routing, capacity planning, and supply-demand dynamics across regions Identify drivers of preventive care engagement and patient follow-through Predict cancellations, risk, and future care needs using behavioral and clinical signals Design and evaluate A/B experiments across product, growth, and operations Support internal teams with dashboards, analytics, and ad hoc decisions Help shape the Data function's standards, tooling, and processes as an early leader What you have done 5+ years in data science, advanced analytics, or applied data modeling Worked with large, messy datasets to answer ambiguous, high-stakes questions Built dashboards or visualizations using Looker, Tableau, Grafana, Superset, or similar Written high-quality SQL across warehouses like BigQuery, Snowflake, or Redshift Influenced product, ops, or strategy decisions through data insight and storytelling Presented findings to leadership and collaborated with cross-functional teams What gives you an edge Experience with Python, Pandas, Scikit-learn, or ELK (Elasticsearch + Kibana) Exposure to GCP data tools like BigQuery, DataFlow, or DataForm Familiarity with healthcare data (claims, HL7, CCDAs, HIEs) Experience with logistics, routing, or operational optimization problems Designed or analyzed growth experiments or user behavior funnels Communicated insights to C-level stakeholders or mentored junior talent Our Tech Stack Python SQL Superset, Looker, Tableau, Grafana BigQuery, Snowflake, Redshift Elasticsearch / Kibana FHIR, HL7, claims data (bonus) Pandas, Scikit-learn, DataForm, DataFlow What we offer Meaningful pre-IPO equity Medical, dental, and vision plans 100% paid for you and your dependents Flexible PTO + 10 paid holidays per year 401(k) with match 16-week parental leave policy for birthing parent, 8 weeks for all other parents HSA + FSA contributions Life insurance, plus short and long-term disability coverage Free daily lunch in-office Annual learning stipend $180,000 - $230,000 a year Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes. Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com. Please ensure that you're only replying to emails that end with @sprinterhealth.com.

Position at Parts Town See What We're All About As the fastest-growing distributor of restaurant equipment, HVAC and residential appliance parts, we like to do things a little differently. First, you need to understand and demonstrate our Core Values with safety being your first priority. That's key. But we're also looking for unique enthusiasm, high integrity, courage to embrace change…and if you know a few jokes, that puts you on the top of our list! Do you have a genius-level knowledge of original equipment manufacturer parts? If not, no problem! We're more interested in passionate people with fresh ideas from different backgrounds. That's what keeps us at the top of our game. We're proud that our workplace has been recognized for its growth and innovation on the Inc. 5000 list 15 years in a row and the Crain's Fast 50 list ten times. We are honored to be voted by our Chicagoland team as a Chicago Tribune Top Workplace for the last four years. If you're ready to roll up your sleeves, go above and beyond and put your ambition to work, all while having some fun, let's chat - Apply Today! Perks Parts Town Pride - check out our virtual tour and culture! Quarterly profit-sharing bonus Hybrid work schedule Team member appreciation events and recognition programs Volunteer opportunities Monthly IT stipend Casual dress code On-demand pay options: Access your pay as you earn it, to cover unexpected or even everyday expenses All the traditional benefits like health insurance, 401k/401k match, employee assistance programs and time away - don't worry, we've got you covered. The Job at a Glance The Data Engineer- Data Products & Delivery will specialize in turning raw data into business-ready products within GCP. They will design and optimize data models, marts, and semantic layers in BigQuery, enabling analytics, BI, and ML use cases across the enterprise. You will also support downstream systems and APIs that deliver trusted data for operational and AI-driven processes. You will play a foundational role in shaping this future - building the pipelines, products, and platforms that power the next generation of digital distribution. A Typical Day Build silver/gold layers in BigQuery, transforming raw data into clean, business-ready models. Design semantic layers using Looker or dbt for consistent business metrics Develop data marts and star schemas optimized for analytics and self-service BI Build APIs and services for data delivery (Cloud Functions, Cloud Run) Partner with analysts, data scientists, and ML engineers to ensure data & AI readiness and support advanced modeling Collaborate with the Data Governance team to embed stewardship, lineage, and metadata into Dataplex and other MDM tooling Support real-time analytics using BigQuery streaming and Pub/Sub as needed. Optimize query performance and cost efficiency in BigQuery Drive adoption of AI/automation by ensuring data models are accessible for predictive and agentic use cases To Land This Opportunity You have 4+ years of experience in data engineering or BI-focused data modeling You have hands-on expertise in BigQuery (partitioning, clustering, performance tuning, cost management) You have strong knowledge of dbt, Looker, and SQL for transformation and semantic modeling You obtain experience with Cloud Functions, Cloud Run, and APIs for data delivery You're familiar with Pub/Sub and BigQuery streaming for real-time use cases You have exposure to ML feature engineering in Vertex AI or similar platforms a plus You have a strong understanding of data governance frameworks, Dataplex, and metadata management You're an all-star communicator and are proficient in English (both written and verbal) You have a quality, high speed internet connection at home About Your Future Team Our IT team's favorite pastimes include corny jokes, bowling, pool, and good pizza. They like vehicles that go really fast, Harry Potter, and coffee…a lot (they'll hear you out on whether Dunkin or Starbucks gets your vote). At Parts Town, we value transparency and are committed to ensuring our team members feel appreciated and supported. We prioritize our positive workplace culture where collaboration, growth, and work-life balance are celebrated. The salary range for this role is $114,300 - 132,715 which is based on including but not limited to qualifications, experience, and geographical location. Parts Town is a pay for performance-company. In addition to base pay, some roles offer a profit-sharing program, and an annual bonus depending on the role. Our comprehensive benefits package includes health, dental and vision insurance, 401(k) with match, employee assistance programs, paid time off, paid sick time off, paid holidays, paid parental leave, and professional development opportunities. Parts Town welcomes diversity and as an equal opportunity employer all qualified applicants will be considered regardless of race, religion, color, national origin, sex, age, sexual orientation, gender identity, disability or protected veteran status.

Use Your Power for Purpose Our mission is straightforward: support healthcare decisions that ensure the safe and effective use of medications. Whether you are developing the framework to ensure our evidence is scientifically robust, providing unbiased and medically essential expertise, or exploring ways to bridge data gaps, your role is vital. By ensuring our evidence is sound and offering necessary medical insights, we strive to improve patient care and treatment efficacy. What You Will Achieve In this role, you will: Contribute to moderately complex projects, managing time effectively to meet targets and develop short-term work plans. Take on the role of Data Manager for clinical trials, overseeing Data Monitoring and Management (DMM) activities. Collaborate with partners and colleagues to ensure operational excellence and apply standards while developing data cleaning reports. Maintain high standards across all DMM deliverables and ensure data quality and completeness as specified in the Data Management Plan. Document and share lessons learned during studies to promote cross-study learning. Build strong relationships with local and global subject matter experts (SMEs) to leverage their expertise in systems and processes, proactively identifying issues and developing solutions. Here Is What You Need (Minimum Requirements) BA/BS with at least 2 years of experience or MBA/MS with any years of experience Relevant pharmaceutical industry experience Demonstrated knowledge of data management processes and principles Proficiency in web-based data management systems Working knowledge of electronic document management systems Familiarity with the International Conference on Harmonization, particularly Good Clinical Practices Thorough understanding of clinical study management and regulatory operations processes Effective verbal and written communication skills Bonus Points If You Have (Preferred Requirements) Master's degree Experience using data visualization tools Proficient experience using commercial clinical data management systems and/or EDC products Awareness of regulatory requirements and relevant data standards Strong analytical and problem-solving skills Ability to work collaboratively in a team environment Excellent organizational and time management skills Work Location Assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week. The annual base salary for this position ranges from $80,300.00 to $133,900.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 10.0% of the base salary. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. Medical

The Senior Data Engineer, Data Platforms is a pivotal role on our Data Team - with broad responsibility. You're not just managing data; you're pioneering the very platforms that underpin our data and analytics engineering pursuits across the company's extensive landscape. You will own state-of-the-art big data platforms that power the Global Partners data stack -- with your work standing as the backbone supporting all data-centric innovations. You are fluent with platforms like AWS, Snowflake, Dagster, and dbt at your fingertips, and deploying via tools such as Kubernetes, Docker, and Terraform being second nature, you are primed to spearhead our pursuit of data excellence. Your vast experience, extending from data storage best practices to continuously assessing and integrating new technologies, ensures that Global Partners stays ahead of the curve. You are a problem solver and an automation enthusiast who will be responsible for deploying robust solution for data engineering and data platform management. At the heart of it all, you're not just an engineer; you see the art in orchestrating data. As you engage with teams, provide strategic guidance, and champion the consistent adoption of best practices, you're also shaping the future of data analytics. If you're ignited by the prospect of being at the helm of technological evolution, where every decision melds strategy with data- Join us. Global Partners offers a collaborative team and an environment where we actively invest to create a culture of data driven excellence. For over 90 years Global Partners LP has been delivering the energy our communities need to grow, move, and thrive. From Alltown Fresh, with its innovative chef-led creations and guest-focused retail experience, to our vast network of over 50 liquid energy terminals across the eastern seaboard and beyond, Global Partner's integrated network of businesses delivers value day-in and day-out to our guests and customers across the US. At Global Partners we embrace the future, investing in the energy transition with initiatives like GlobalGLO and supporting the communities in which we operate with our charitable work. We're excited for the next 90 years at Global Partners and what innovative new ideas we can bring to our guests and customers in the future. We're looking for passionate people with great ideas to contribute to our company's future. If you're motivated by what's next, Global Partners can provide you the opportunities to push your career to the next level. The Types of "Energy" You Bring Excellent written and verbal communication skills. You are self-motivated and like to take initiative. You are a team player with a positive attitude. You have strong time management skills. "Gauges" of Responsibility Architect and implement scalable, cloud-native data platforms that serve as the foundation for all data engineering initiatives across the organization, utilizing technologies such as AWS, GCP, or Azure, Python, Docker, Kubernetes Automate deployment (CI/CD) pipelines for data infrastructure and applications, leveraging tools like Jenkins, GitLab CI, GitHub Actions to ensure rapid, reliable deployments. Implement Infrastructure as Code (IaC) practices using tools such as Terraform or CloudFormation to manage and version control cloud resources. Develop and maintain robust data orchestration workflows using modern tools like Apache Airflow, Dagster, or Prefect, ensuring efficient data processing and transformation. Develop automated solutions and self-service platforms to enable efficient onboarding of developers to efficiently set up, configure, and monitor their data environments. Optimize data storage and processing systems, including data lakes and data warehouses (e.g., Snowflake, BigQuery, Redshift), to ensure cost-effectiveness and performance at scale. Implement observability and monitoring solutions for data pipelines and infrastructure using tools like Prometheus, Grafana, or DataDog to ensure system reliability and performance. Lead the adoption of DataOps practices, fostering collaboration between data engineering, data science, and operations teams to streamline the entire data lifecycle. "Fuel" for You Coins! We offer competitive salaries and opportunities for growth. We mean it! We have an amazing Talent Development Team who create trainings for growth and job development. Health + Wellness- Medical, Dental, Visions and Life Insurance. Along with additional wellness support. The Road Ahead- We offer 401k and a match component! Professional Development- We provide tuition reimbursement; this benefit is offered after 6 months of service. Give Back! We believe in community support. We know everyone gives in their own way, that's why we offer paid volunteer time-off to you to help an organization of your choice. The GPS of our Interview Process First thing first, if you're interested in the role, please apply. A talent acquisition team member will review your resume in partnership with the hiring manager. If your experience would lend to this opportunity a recruiter will contact you. We conduct in-person and virtual interviews. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience in Data Engineering, DataOps, MLOps, Software Engineering with a minimum of 5 years' experience or 7 years' experience, in lieu of an applicable degree. Strong proficiency in designing and implementing scalable, cloud-native (containerized) data platforms using Infrastructure as Code (e.g., Terraform, Docker, Kubernetes). Advanced programming skills in Python focusing on data-intensive applications. Strong SQL proficiency and experience with cloud data warehouses (e.g., Snowflake, BigQuery) required Proven track record in designing and implementing CI/CD pipelines for data infrastructure and applications, using tools like Jenkins, GitLab CI, or GitHub Actions In-depth knowledge of big data technologies (e.g., Apache Spark, Kafka) and data orchestration tools (e.g., Apache Airflow, Dagster). Experience with data transformation frameworks like dbt and ETL/ELT processes in cloud environments Strong background in data security, governance, and metadata management. Experience implementing IAM/RBAC policies, encryption, and data access controls in cloud environments. Proficiency in implementing monitoring, logging, and alerting solutions for data infrastructure (e.g., Prometheus, Grafana, ELK stack). Familiarity with serverless architectures is a plus. Ability to design and develop automated tools and self-service platforms enabling efficient data environment setup and management for data scientists and analyst. Experience in optimizing data storage and processing systems for cost-effectiveness and performance at scale. Familiarity with MLOps and integrating ML models into production. Exceptional team player with strong communication skills, ability to work with cross-functional teams, and a willingness to mentor and share knowledge. Proficiency in modern Agile development methodologies, coupled with excellent problem-solving abilities and a metrics-first mindset. Pay Range: $136,200.00 - $204,200.00 The pay range for this position is outlined above. The final amount offered at the start of employment is determined based on factors including, but not limited to, experience level, knowledge, skills, abilities and geographic location, and the Company reserves the right to modify base salary at any time, including for reasons related to individual performance, Company or individual department/team performance and market factors. We value passion and potential. If you are enthusiastic about a position and think you can make a meaningful impact, we encourage you to apply even if you don't check every box. We embrace different perspectives, backgrounds and experiences. Global Partners LP is an equal opportunity employer. We foster a company culture where ideas from all people help us grow, move and thrive. We embrace the diversity of all applicants and do not discriminate against race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other basis prohibited by federal, state or local law. If you have a disability and need an accommodation to apply, please contact our recruiting department at 781-891-4000. Disclaimer: At Global Partners, we don't use lie detector tests for any employment decisions. We follow all the rules and regulations, so we need to let you know: In Massachusetts, it's illegal to require or administer a lie detector test as a condition of employment of continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Job Family: Data Science Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public Trust What You Will Do: We are seeking an experienced Data Engineer to join our growing AI and Data practice, with a dedicated focus on the Federal Civilian Agencies (FCA) market within the Communities, Energy & Infrastructure (CEI) segment. This individual will be a hands-on technical contributor, responsible for designing and implementing scalable data pipelines and interactive dashboards that enable federal clients to achieve mission outcomes, operational efficiency, and digital transformation. This is a strategic delivery role for someone who thrives at the intersection of data engineering, cloud platforms, and public sector analytics. Client Leadership & Delivery Collaborate with FCA clients to understand data architecture and reporting needs. Lead the development of ETL pipelines and dashboard integrations using Databricks and Tableau. Ensure delivery excellence and measurable outcomes across data migration and visualization efforts. Solution Development & Innovation Design and implement scalable ETL/ELT pipelines using Spark, SQL, and Python. Develop and optimize Tableau dashboards aligned with federal reporting standards. Apply AI/ML tools to automate metadata extraction, clustering, and dashboard scripting. Practice & Team Leadership Work closely with data architects, analysts, and cloud engineers to deliver integrated solutions. Support documentation, testing, and deployment of data products. Mentor junior developers and contribute to reusable frameworks and accelerators. What You Will Need: US Citizenship is required Bachelor's degree is required Minimum TWO (2) years of experience in data engineering and dashboard development Proven experience with Databricks, Tableau, and cloud platforms (AWS, Azure) Strong proficiency in SQL, Python, and Spark Experience building ETL pipelines and integrating data sources into reporting platforms Familiarity with data governance, metadata, and compliance frameworks Excellent communication, facilitation, and stakeholder engagement skills What Would Be Nice To Have: AI/LLM Certifications Experience working with FCA clients such as DOT, GSA, USDA, or similar Familiarity with federal contracting and procurement processes What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Who We Are At Corebridge Financial, we believe action is everything. That's why every day we partner with financial professionals and institutions to make it possible for more people to take action in their financial lives, for today and tomorrow. We align to a set of Values that are the core pillars that define our culture and help bring our brand purpose to life: We are stronger as one: We collaborate across the enterprise, scale what works and act decisively for our customers and partners. We deliver on commitments: We are accountable, empower each other and go above and beyond for our stakeholders. We learn, improve and innovate: We get better each day by challenging the status quo and equipping ourselves for the future. We are inclusive: We embrace different perspectives, enabling our colleagues to make an impact and bring their whole selves to work. Who You'll Work With The Information Technology organization is the technological foundation of our business and works in collaboration with our partners from across the company. The team drives technology and digital transformation, partners with business leaders to design and execute new strategies through IT and operations services and ensures the necessary IT risk management and security measures are in place and aligned with enterprise architecture standards and principles. About The Role We are seeking a highly skilled Salesforce Data Integration Engineer / Architect to design, implement, and optimize integration solutions that connect Salesforce with enterprise systems, data warehouses, and third-party applications. The role combines technical expertise in integration patterns with architectural vision to ensure secure, scalable, and high-performance data flows across platforms. You will design, build, and maintains seamless data flow between Salesforce and other systems, ensuring data quality, security, and accessibility. The candidate will be part of the Information management organization responsible developing integration solutions using Salesforce APIs, creating ETL pipelines for data migration, troubleshooting issues, and collaborating with cross-functional teams to meet business data needs. Responsibilities As a Leader, you are respected for your deep technical expertise and/or ability to oversee programs and processes. You balance the needs of multiple stakeholders, making sound decisions using data, analysis, experience, and judgment, along with a risk mindset. Ultimately, you take ownership for key outcomes. Responsibilities: Architecture & Design Design scalable data integration architecture between Salesforce (Sales Cloud, Service Cloud, Marketing Cloud, Data Cloud, AgentForce etc) and external systems. Define integration patterns (real-time, batch, event-driven, API-led, ETL) and select the appropriate approach per use case. Establish data governance, security, and compliance standards for data movement. Recommend middleware or integration platforms. Implementation Build, configure, and maintain integrations using REST/SOAP APIs, ETL tools, or custom solutions. Develop data pipelines for ingesting, transforming, and synchronizing Salesforce data with on-premises or cloud data warehouses (e.g., Snowflake, Redshift, BigQuery). Implement event-driven integrations using Salesforce Platform Events, Change Data Capture, or Streaming APIs. Optimize data flows for performance, error handling, retry logic, and resiliency. Data Management Define data models, mapping, and transformations between Salesforce and other systems. Ensure high-quality, clean, and consistent data across environments. Manage large-scale data migrations into and out of Salesforce, including validation, deduplication, and reconciliation. Monitor data pipelines and integrations for performance, availability, and compliance. Collaboration & Leadership Partner with Salesforce administrators, developers, business analysts, and enterprise architects to align integration design with business needs. Provide technical leadership and mentoring to integration developers or data engineers. Participate in code reviews, solution design sessions, and technical workshops. Document integration architecture, data flows, and technical standards. Skills and Qualifications The position calls for a seasoned IT professional with senior leadership qualities and background with 10+ years' experience in IT. 10+ years of experience of salesforce integration work. 5 + years of experience in delivering enterprise-level data integration projects. 5 + years of experience with cloud platforms AWS, Azure. Salesforce + integration platform certifications strongly recommended. Bachelor's degree in Information Technology or related field preferred, or equivalent work experience. 10+ years of experience in the IT Industry. Technical Expertise Strong hands-on experience with Salesforce APIs (REST, SOAP, Bulk, Streaming, Metadata APIs). Strong hands-on experience on Salesforce cloud applications like Service cloud, Experience cloud, Marketing Cloud, Data cloud. Experience with Salesforce AgentForce platform. Strong hands-on experience with Tableau as BI Platform to architect BI solutions on Salesforce ecosystem apps and third party data outside of salesforce. Proficiency with integration/middleware platforms (AWS API Gateway, MuleSoft). Experience with ETL/ELT processes and data pipeline development. Proficiency in SQL and working with relational databases (Oracle, SQL Server, PostgreSQL). Experience with cloud platforms (AWS, Azure, GCP) and data warehouses (Snowflake). Architecture Skills Ability to define integration architecture patterns (real-time sync, batch, event-driven, microservices-based). Understanding of API management, versioning, throttling, and security (OAuth, SAML, JWT, TLS). Knowledge of data governance, security, and compliance (GDPR, HIPAA, SOC2). Other Competencies Strong problem-solving and debugging skills. Experience with Agile/Scrum delivery. Excellent documentation and communication skills. Strong SQL skills and experience working with relational/dimensional databases (e.g., Oracle, SQL Server, Snowflake) and no-SQL databases like Cassandra/AWS Dynamo DB. Familiarity with data warehousing concepts and ETL processes Compensation The actual compensation offered will ultimately be dependent on multiple factors, which may include the candidate's geographic location, skills, experience and other qualifications. In addition, the position is eligible for a discretionary bonus in accordance with the terms of the applicable incentive plan. Corebridge also offers a range of competitive benefits as part of the total compensation package, as detailed below. Work Location This position is based in Corebridge Financial's Houston, TX, Woodland Hills, CA, or Jersey City, NJ office and is subject to our hybrid working policy, which gives colleagues the benefits of working both in an office and remotely. Estimated Travel May include up to 25%. #LI-SAFG #LI-CW1 #LI-Hybrid Why Corebridge? At Corebridge Financial, we prioritize the health, well-being, and work-life balance of our employees. Our comprehensive benefits and wellness program is designed to support employees both personally and professionally, ensuring that they have the resources and flexibility needed to thrive. Benefit Offerings Include: Health and Wellness: We offer a range of medical, dental and vision insurance plans, as well as mental health support and wellness initiatives to promote overall well-being. Retirement Savings: We offer retirement benefits options, which vary by location. In the U.S., our competitive 401(k) Plan offers a generous dollar-for-dollar Company matching contribution of up to 6% of eligible pay and a Company contribution equal to 3% of eligible pay (subject to annual IRS limits and Plan terms). These Company contributions vest immediately. Employee Assistance Program: Confidential counseling services and resources are available to all employees. Matching charitable donations: Corebridge matches donations to tax-exempt organizations 1:1, up to $5,000. Volunteer Time Off: Employees may use up to 16 volunteer hours annually to support activities that enhance and serve communities where employees live and work. Paid Time Off: Eligible employees start off with at least 24 Paid Time Off (PTO) days so they can take time off for themselves and their families when they need it. Eligibility for and participation in employer-sponsored benefit plans and Company programs will be subject to applicable law, governing Plan document(s) and Company policy. We are an Equal Opportunity Employer Corebridge Financial, is committed to being an equal opportunity employer and we comply with all applicable federal, state, and local fair employment laws. All applicants will be considered for employment based on job-related qualifications and without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, neurodivergence, age, veteran status, or any other protected characteristic. The Company is also committed to compliance with all fair employment practices regarding citizenship and immigration status. At Corebridge Financial, we believe that diversity and inclusion are critical to building a creative workplace that leads to innovation, growth, and profitability. Through a wide variety of programs and initiatives, we invest in each employee, seeking to ensure that our colleagues are respected as individuals and valued for their unique perspectives. Corebridge Financial is committed to working with and providing reasonable accommodations to job applicants and employees, including any accommodations needed on the basis of physical or mental disabilities or sincerely held religious beliefs. If you believe you need a reasonable accommodation in order to search for a job opening or to complete any part of the application or hiring process, please send an email to TalentandInclusion@corebridgefinancial.com. Reasonable accommodations will be determined on a case-by-case basis, in accordance with applicable federal, state, and local law. We will consider for employment qualified applicants with criminal histories, consistent with applicable law. To learn more please visit: www.corebridgefinancial.com Functional Area: IT - Information Technology Estimated Travel Percentage (%): Relocation Provided: American General Life Insurance Company

Who Are We? Our company is based on the science of our founder, Stanley Qi, one of the original CRISPR co-inventors who then furthered the technology so that DNA does not need to be cut to accomplish gene regulation. Instead, we regulate the epigenome to suppress and activate multiple genes simultaneously. We are further evolving the platform and leveraging its strengths to address unmet medical needs. We are looking for exceptional team members who want an active role in building a rapidly growing biotech. Epicrispr Biotechnologies is seeking a highly motivated Associate Data Scientist/Data Scientist I This position offers an exciting opportunity to contribute to the development of innovative epigenome engineering tools for therapeutic applications. As a key member of the BDS team, the Data Scientist will collaborate closely with experimental biologists to support experimental design and will take the lead in analyzing and interpreting high-throughput biological data from a range of cutting-edge screens and assays. This role requires a blend of ambition, technical expertise, and independence, with a strong ability to manage multiple projects simultaneously. The ideal candidate will be an excellent communicator with a proven track record of developing bioinformatics pipelines and solving complex problems in novel research areas. Key Responsibilities: Lead collaborative efforts with experimental biologists and bioengineers on experimental design and data analysis approaches to drive strategic therapeutic and engineering goals. Analyze complex high-throughput datasets. Independently design, implement, and optimize bespoke analysis pipelines tailored for in-house screening efforts. Communicate analysis results effectively across teams, bridging the gap between experimental scientists, data scientists, and non-technical stakeholders. Contribute to and support the continuous improvement of bioinformatics tools, workflows, and methods. Required Qualifications: Masters required or Ph.D. preferred in Bioinformatics, Computational Biology, Biophysics, Genetics/Genomics, Bioengineering, Computer Science, Statistics, or a related quantitative field, with 0-2 years of experience in a relevant industry or academic environment; or MS in one of the above fields with 2-4 years of industry/academic experience, or BS in a relevant field with 5+ years of industry/academic experience. Proficiency in programming languages such as Python or R (preferably both), with a focus on exploratory data analysis and pipeline development. Demonstrated ability to effectively communicate complex scientific concepts and results to both technical and non-technical stakeholders. Strong experience with experimental design, working cross-functionally with wet-lab scientists, and contributing to multidisciplinary research efforts. Preferred Qualifications: Expertise in gene regulation, epigenetics, CRISPR biology, and/or gene therapy. Extensive experience analyzing high-throughput sequencing data, including CRISPR screens, RNA-seq, ATAC-seq, ChIP-seq, WGBS, scRNA-seq, and similar datasets. Experience working with cloud computing platforms such as AWS for large-scale data analysis. Familiarity with GitHub for version control and collaborative code development. Theoretical and practical knowledge of machine learning and deep learning methodologies for biological data analysis. Familiarity with lentiviral vector design, packaging, transduction, and the creation of stable cell lines. Compensation: The salary range for this position is $90,000 to $120,000 USD annually. This salary range is an estimate, and the actual salary may vary based on various factors, including, without limitation, individual education, experience, tenure, skills, and abilities, as well as internal equity and alignment with market data, including potential adjustments for geographic location. Epicrispr Biotechnologies is an early-stage biotechnology company developing a novel technology platform that can provide safe and persistent control of targeted gene regulation. Our proprietary platform represents an entirely new class of therapeutics that can be leveraged to treat severe disease across numerous therapeutic areas, including complex diseases impacted by multiple genes. Epicrispr Biotechnologies provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

FleetPride is the largest after-market distributor of heavy-duty truck and trailer parts in the U.S. with some of the best and brightest people in the business! Partner with the best in the heavy-duty industry and apply today! The Data Analyst, Master Data Management will report to the Manager of Transactional Operations MDM and will be tasked with assisting with initiative and projects of data collection, clean up, publication and data quality. This individual will be responsible for establishing data quality, capturing requirements, Supplier onboarding including Score Card reviews. Additionally, this person will assist the MDM team as required on special projects, iSeries updates and various data management workloads as assigned. The selected Analyst, Master Data Management will use sound analytical, problem solving and troubleshooting skills to resolve issues and data related changes. They will be required to establish working relationship with our Suppliers and maintain connections both with our customers internally and externally to FleetPride. The Analyst will be working in a fast-paced environment and handle multiple tasks under tight deadlines. Responsibilities Establish working relationships with assigned Suppliers, create score cards and deliver month via online meetings to discuss metrics and specifics around missing data and enrichment opportunities. Work with Category Managers to onboard new products using MVP Smartsheet to create new SKUs in MDM Work with Category Managers and associated Suppliers to receive and research product data as needed to ensure fully attributes SKUs are available for downstream consumption. Work Service Now tickets as assigned in a timely fashion according to setup SALS established ensuring a proper resolution for all parties. Work collaboratively in a team environment Ability to think on their own and put effort into researching and finding the answers to resolve data related issues. Maintain and updates SKU and Location data as needed in IBM iSeries IS400 mainframe system. Identify and correct data errors including accurate costing, and location data in iSeries IS400. Collect and gather digital assets, images, PDFs and Safety data sheets for SKUs in the system and assign appropriately Skills Previous experience with quality control on product data and improvement programs Prior experience in Stibo STEP Master Data Management or similar MDM software Ability to create and analyze reports and data metrics. Proficient with Microsoft Office (Word, PowerPoint, Excel, Access, Outlook) and other statistical software Ability to write Excel formulas to manipulate data as needed. Intermediate knowledge of SQL, AS400 Attributes We believe the most productive teams are those that: Do work that interests, challenges, and professionally develops them Do things that contribute to the success of the company and team Like and respect the team members they work alongside every day As a result, we hire for Culture First, and are looking for candidates who possess the following: Action oriented, self-motivated, self-starter with a solution-oriented mindset Curious, innovative, and creative Glass half full optimism Natural problem solver, not afraid to ask questions and adept at learning new things rapidly Humble Leadership / Team Oriented Operates from the position of "do what's best for the business and team" Qualifications High School Diploma or GED Associate's preferred 1 to 2 years of relevant work experience in a B2B data management/PIM/MDM role Working knowledge of Product Information Management, Digital asset management, Governance best practices Previous AS400 inventory database experience preferred. This job description in no way states or implies that these are the only duties to be performed by this employee. He or she will be required to follow any other instructions and to perform any other duties requested by his or her supervisor. FleetPride is the leader in the industry comprised of retail, service, distribution and wholesale divisions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description DPR is looking for an experienced AI Data Engineer to join our Data and AI team and work closely with the Data Platform, BI and Enterprise architecture teams to influence the technical direction of DPR's AI initiatives. You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas. Responsibilities Integrate the semantic layer to serve as an AI-ready knowledge base, enabling applications such as advanced analytics, prompt engineering for large language models, and intelligent data discovery while ensuring seamless connectivity and holistic data understanding across the enterprise. Develop standards, guidelines, and best practices for knowledge representation, semantic modeling, and data standardization across DPR to ensure a clear and consistent approach within the enterprise semantic layer. Establish and refine operational processes for semantic model development, including intake mechanisms for new requirements (e.g., from AI prompt engineering initiatives) and backlog management, ensuring efficient and iterative delivery. Partner closely with analytics engineers and data architects to deeply understand the underlying data models in Snowflake and develop a profound understanding of our business domains and data entities. Provide strategic guidance on how structured data can be seamlessly transformed, optimized, and semantically enriched for advanced AI consumption and traditional BI/Analytics tools. Lead the effort to establish and maintain comprehensive documentation for all aspects of the semantic layer, which includes defining and standardizing key business metrics, documenting ontological definitions, relationships, usage guidelines, and metadata for all semantic models, ensuring clarity, consistency, and ease of understanding for all data users. Evaluate and monitor the performance, quality, and usability of semantic systems, ensuring they meet organizational objectives, external standards, and the demands of AI applications. Act as a thought leader, constantly evaluating emerging trends in knowledge graphs, semantic AI, prompt engineering, and related technologies to strategically enhance DPR's capabilities in knowledge representation and data understanding. Rapidly prototype high-priority solutions in cloud platforms, demonstrating their feasibility and business value. Participate in all phases of the project lifecycle and lead data architecture initiatives. Qualifications Proven expertise in data analysis, data modeling, and data engineering with a focus on cloud- native data platforms. 5+ years of hands-on experience in semantic modeling, ontology engineering, knowledge graphs, or related AI data preparation. 3+ years of experience developing data solutions specifically for AI/ML applications leveraging structured data. 3+ years of experience with data warehousing concepts, dimensional modeling, and data governance principles as they relate to structuring data for semantic enrichment. Proficiency in SQL and experience working with cloud-based data warehouses, preferably Snowflake. Strong analytical and problem-solving skills with keen attention to detail and the ability to translate complex business concepts into logical ontologies and knowledge graph structures. Strong proficiency in SQL, Python, and PySpark. Familiarity with agile methodologies, and experience working closely with cross functional teams to manage technical backlogs. Skilled in orchestrating and automating data pipelines within a DevOps framework. Strong communicator with the ability to present ideas clearly and influence stakeholders - with a passion for enabling data-driven transformation. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at www.dpr.com/careers.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: New Brunswick, New Jersey, United States of America, Spring House, Pennsylvania, United States of America Job Description: J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ Johnson & Johnson Innovative Medicine is recruiting for a Senior Principal Scientist- AI/ML to help advance AI/ML for Drug Discovery and Development. The primary location for this position is USA (Spring House PA, New Brunswick NJ, Titusville NJ). At Johnson & Johnson Innovative Medicine, we are working to create a world without disease-transforming lives by finding new and better ways to prevent, intercept, treat and cure disease. We bring together the best minds and pursue the most promising science. We are Johnson & Johnson Innovative Medicine. We collaborate with the world for the health of everyone in it. The Data Science Analytics & Insights team within Johnson & Johnson Innovative Medicine develops innovative solutions using a variety of data sources across multiple different disease areas, encompassing oncology, cardiovascular and metabolic disorders, immunology, neuroscience, and infectious disease. We are looking for a highly motivated and innovative Senior Principal Scientist who will work at the intersection of AI/ML and Life Science. Key Responsibilities: Conceive, develop, and deploy AI/ML models for applications such as multimodal biology, molecular property prediction, drug safety, generative molecule design, and AI-driven experimental design. Work closely with a cross disciplinary team of AI/ML scientists, imaging experts, structural biologists, and computational chemists to design and implement computational approaches, analyze and interpret results, and communicate findings through internal presentations, conferences and scientific publications Manage and mentor junior scientists and lead/manage project initiation and execution Participate in cross-functional collaborations with external companies, academia, and internal scientific and data science teams Extensive hands-on coding and actively contribute to platform development Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making findings through peer-reviewed publications and/or scientific conferences Qualifications Ph.D. in Electrical Engineering, Computer Science, Statistics, Applied Mathematics, or related field, with at least four years of post-graduate experience. Strong background in artificial intelligence / machine learning with an established track record (publication in top-tier conferences/journals e.g. ICML, ICLR, AAAI, NeurIPS, CVPR etc, awards, patents, white papers) Proficiency with one or more programming languages such as Python or C++. Proficiency in one or more AI frameworks such as PyTorch or Tensorflow Extensive experience with one or more AI/ML fields including Generative Modeling/Geometric Deep Learning/Computer Vision/LLM/Bayesian Optimization / Bayesian Deep Learning / Causal AI etc Extensive experience and familiarity with drug discovery and clinical development processes Demonstrated proficiency in working with Foundation Models and Generative Modeling techniques Excellent written and verbal communication skills Ability to work independently and as part of a team Hands-on technical data analysis, cloud computing (AWS, Azure), and dockerization is a plus Training Opportunities: Gain experience working in the pharmaceutical industry Navigate and work within a matrix environment Communication and presentation skills to clearly articulate results and impact to diverse audiences and partners through internal presentations, conferences, and scientific publications Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #LI-GR #LI-Hybrid #JRDDS #JNJDataScience #JRD Required Skills: Preferred Skills: Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility The anticipated base pay range for this position is : $137,000 - $235,750 Additional Description for Pay Transparency: Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. § Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). § Employees are eligible for the following time off benefits: - Vacation - up to 120 hours per calendar year- Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year- Holiday pay, including Floating Holidays - up to 13 days per calendar year- Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below.

3M has a long-standing reputation as a company committed to innovation. We provide the freedom to explore and encourage curiosity and creativity. We gain new insight from diverse thinking, and take risks on new ideas. Here, you can apply your talent in bold ways that matter. Job Description: Primary Responsibilities include but are not limited to the following: Responsibilities: Analyzes, designs, develops, tests, and supports Data platform configuration and management Reviews platform user requirements and develops technical architectural design documents to implement functionality needed Learn and understand existing and new platform capabilities to use efficiently and effectively Scripting and automating jobs across platforms to identify issues to fix and optimize Data platform configuration, optimization and support Security design and implementation Oversight and governance of platform capabilities Participates actively in local and global teams Requirements: Bachelor's Degree in Computer Science or Technology from an accredited university or equivalent combination of education and experience 4-6 years of experience in data platforms particularly on Snowflake, HANA, Azure, AWS or relevant data platform technologies Experience in Snowflake modeling, advanced SQL scripting, expert performance tuning Experience in Relational Databases and concepts Detail oriented, self-directed and have strong independent problem-solving and multi-tasking skills Fluent in English (verbal and written communication) Certification in Snowflake, Databricks, Azure, AWS, HANA is a plus Have a strong background and interest in technology Learn more about 3M's creative solutions to the world's problems at www.3M.com or on Instagram, Facebook, and LinkedIn @3M. Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. 3M Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: New Brunswick, New Jersey, United States of America, Spring House, Pennsylvania, United States of America Job Description: J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ Johnson & Johnson Innovative Medicine is recruiting for a Senior Principal Scientist- AI/ML to help advance AI/ML for Drug Discovery and Development. The primary location for this position is USA (Spring House PA, New Brunswick NJ, Titusville NJ). At Johnson & Johnson Innovative Medicine, we are working to create a world without disease-transforming lives by finding new and better ways to prevent, intercept, treat and cure disease. We bring together the best minds and pursue the most promising science. We are Johnson & Johnson Innovative Medicine. We collaborate with the world for the health of everyone in it. The Data Science Analytics & Insights team within Johnson & Johnson Innovative Medicine develops innovative solutions using a variety of data sources across multiple different disease areas, encompassing oncology, cardiovascular and metabolic disorders, immunology, neuroscience, and infectious disease. We are looking for a highly motivated and innovative Senior Principal Scientist who will work at the intersection of AI/ML and Life Science. Key Responsibilities: Conceive, develop, and deploy AI/ML models for applications such as multimodal biology, molecular property prediction, drug safety, generative molecule design, and AI-driven experimental design. Work closely with a cross disciplinary team of AI/ML scientists, imaging experts, structural biologists, and computational chemists to design and implement computational approaches, analyze and interpret results, and communicate findings through internal presentations, conferences and scientific publications Manage and mentor junior scientists and lead/manage project initiation and execution Participate in cross-functional collaborations with external companies, academia, and internal scientific and data science teams Extensive hands-on coding and actively contribute to platform development Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making findings through peer-reviewed publications and/or scientific conferences Qualifications Ph.D. in Electrical Engineering, Computer Science, Statistics, Applied Mathematics, or related field, with at least four years of post-graduate experience. Strong background in artificial intelligence / machine learning with an established track record (publication in top-tier conferences/journals e.g. ICML, ICLR, AAAI, NeurIPS, CVPR etc, awards, patents, white papers) Proficiency with one or more programming languages such as Python or C++. Proficiency in one or more AI frameworks such as PyTorch or Tensorflow Extensive experience with one or more AI/ML fields including Generative Modeling/Geometric Deep Learning/Computer Vision/LLM/Bayesian Optimization / Bayesian Deep Learning / Causal AI etc Extensive experience and familiarity with drug discovery and clinical development processes Demonstrated proficiency in working with Foundation Models and Generative Modeling techniques Excellent written and verbal communication skills Ability to work independently and as part of a team Hands-on technical data analysis, cloud computing (AWS, Azure), and dockerization is a plus Training Opportunities: Gain experience working in the pharmaceutical industry Navigate and work within a matrix environment Communication and presentation skills to clearly articulate results and impact to diverse audiences and partners through internal presentations, conferences, and scientific publications Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #LI-GR #LI-Hybrid #JRDDS #JNJDataScience #JRD Required Skills: Preferred Skills: Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility The anticipated base pay range for this position is : $137,000 - $235,750 Additional Description for Pay Transparency: Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. § Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). § Employees are eligible for the following time off benefits: - Vacation - up to 120 hours per calendar year- Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year- Holiday pay, including Floating Holidays - up to 13 days per calendar year- Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below.

The Core Data Science team is at the center of data within Figma. With a charge to uplevel Figma's use of data, the team works alongside other Data Scientists and Engineering to identify ways to implement and democratize new statistical methods, build data frameworks, and incorporate data within Figma's product. In addition to enabling data practitioners, the team also supports the Infrastructure organization. The team contributes to the org's goals by collaborating closely with product managers, engineers, and our finance team to uncover inefficiencies in system and resource utilization; recommending architectural improvements through data-driven insights; and tying infrastructure investments directly to product performance and customer impact This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Lead, support, and grow a team of data scientists with varied strengths and expertise focused on internal tooling, machine learning enablement, and support our Infrastructure organization Guide development of new and sophisticated applications of data Champion data quality, accessibility, and the democratization of data across the company Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact We'd love to hear from you if you have: 3+ years of experience managing and leading high output data science teams 5+ years of experience working in of experience in Analytics, Data Science, or a related field Strong foundation in statistical methods, experimentation, and/or forecasting Technical curiosity - you should be ready to learn and grow alongside your team A desire to build an inclusive and diverse culture Experience scaling teams in high-growth environments While not required, it's an added plus if you also have: Experience with ML or Security Data Science At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Boston, Chicago, New York, Dallas, Toronto, Montreal Lead Data Scientist ____ WHO WE ARE Oliver Wyman is a global leader in management consulting. With offices in 50+ cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. Our 4000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients' top and bottom lines. Our clients are the CEOs and executive teams of the top Global 1000 companies. ____ PRACTICE OVERVIEW At Oliver Wyman Digital we partner with clients to deliver breakthrough outcomes for their toughest digital challenges. We blend the power of digital technology with deep industry expertise to tackle disruption and create impact. By building strong capabilities and culture, we accelerate and embed digital transformation. Our people co-create and grow customer-focused solutions that win. We modernize technology and harness value from data and analytics. We build resilience so our clients are ready for tomorrow's risks and can optimize operations for the future. Above all, we work collaboratively with our clients' leaders, employees, stakeholders, and customers to jointly define, design, and achieve lasting results. ____ THE ROLE AND RESPONSIBILITIES Our clients drive our projects - and no two OW Digital projects are the same. You'll be working with varied and diverse teams to deliver unique and unprecedented products across industries. As a Lead Data Scientist, you are primarily responsible for managing technical projects, including data engineering, model selection and design, and infrastructure deployment in both internal and client environments. We want and expect our people to develop deep expertise in a particular industry (financial services, health and life sciences, etc.), but you should be comfortable developing methods and selecting approaches based on a combination of first principles thinking, curiosity, and your pre-built foundations of software engineering and development. As a Data Scientist, you will work alongside Oliver Wyman partners in the Digital and other practice groups, engage directly with clients to understand their business challenges, and craft appropriate solutions to be delivered through collaboration with other OW Digital specialists and consultants. Your responsibilities will include: Exploring data, building models, and evaluating solution performance to resolve core business problems Explaining, refining, and collaborating with stakeholders through the journey of model building Keeping up with your domain's state of the art & developing familiarity with emerging modelling and data engineering methodologies Advocating application of best practices in modelling, code hygiene and data engineering Leading the development of proprietary statistical techniques, algorithms or analytical tools on projects and asset development Working with Partners and Principals to shape proposals that leverage our data science and engineering capabilities ____ YOUR EXPERIENCE & QUALIFICATIONS You are a well-rounded technologist who brings a wealth of real-world experience and: Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science Compelling track record of designing and deploying large-scale technical solutions, which deliver tangible, ongoing value including: Building and deploying robust, complex production systems that implement modern data science methods at scale, including supervised learning (regression and classification with linear and non-linear methods) and unsupervised learning (clustering, matrix factorization methods, outlier detection, etc.) Leveraging cloud-based infrastructure-as-code (CloudFormation, Bicep, Terraform, etc.) to minimize deployment toil and enabling solutions to be deployed across environments quickly and repeatably Demonstrating comfort and poise in environments where large projects are time-boxed, and therefore consequential design decisions may need to be made and acted upon rapidly Demonstrated fluency in modern programming languages for data science (i.e. at least Python, other expertise welcome), covering the full ML lifecycle (e.g. data storage, feature engineering, model persistence, model inference, and observability) using open-source libraries, including: Knowledge of one or more machine learning frameworks, including but not limited to: Scikit-Learn, TensorFlow, PyTorch, MxNet, ONNX, etc. Familiarity with the architecture, performance characteristics and limitations of modern storage and computational frameworks, with cloud-first considerations for Azure and AWS particularly welcome A history of compelling side projects or contributions to the Open-Source community is valued but not required Solid theoretical grounding in the mathematical core of the major ideas in data science: Deep understanding of a class of modelling or analytical techniques (e.g. Bayesian modeling, time-series forecasting, etc.) Fluency in the mathematical principles and generalizations of data science - e.g., Statistics, Linear Algebra and Vector Calculus Experience presenting at high-impact data science conferences and solid connections to the data science community (e.g., via meetups, continuing relationships with academics, etc.) is highly valued Interest/background in Financial Services, and capital markets in particular, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries ____ YOUR ATTRIBUTES Our team comprises all sorts of people from all sorts of backgrounds. We don't care whether you're loud or quiet, funny, or serious, introverted or extroverted. We do, however, ask that you have: An undergraduate or advanced degree from a top academic program A genuine passion for technology and solving problems A pragmatic approach to solutioning and delivery Excellent communication skills, both verbal and written A clear commitment to creating impactful solutions that solve our clients' problems The ability to work fluidly and respectfully with our incredibly talented team Willingness to travel for targeted client and/or internal stakeholder meetings ____ OUR VALUES & CULTURE We're serious about making OW Digital a rewarding, enjoyable, and balanced place to work. Rewarding work We've worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman's status as one of the Fortune 100 "Best Companies to Work For", and you get a rewarding combination of challenge, support, and recognition. Progressive employment Flat organizational structures, resolute I&D values, and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time. Enjoyable days We want our team members to build a career here-and to be happy. That makes us serious about caring for, mentoring, developing, and sponsoring each other. This commitment also leads to opportunities for social impact and community work on company time. Balanced lives Our work is demanding, and we want you to have the best work-life balance you can. We'll work with you to accommodate your personal life with flexible hours and the ability to work from home. ____ HOW TO APPLY If you like what you've read, we'd love to hear from you! You can find this and other roles and submit your CV at https://careers.marshmclennan.com/global/en/oliver-wyman-search . And please include a short note introducing yourself and what you're looking for. The application process will include both technical testing and team fit interviews. Oliver Wyman is an equal opportunity employer. Our commitment to diversity is genuine, deep, and growing. We're not perfect, but we're working hard right now to make our teams balanced, representative and diverse. ____ _ ABOUT OLIVER WYMAN Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit www.oliverwyman.com. Follow Oliver Wyman on Twitter @OliverWyman. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $150,00 to $195,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.

Use Your Power for Purpose Our mission is straightforward: support healthcare decisions that ensure the safe and effective use of medications. Whether you are developing the framework to ensure our evidence is scientifically robust, providing unbiased and medically essential expertise, or exploring ways to bridge data gaps, your role is vital. By ensuring our evidence is sound and offering necessary medical insights, we strive to improve patient care and treatment efficacy. What You Will Achieve In this role, you will: Contribute to moderately complex projects, managing time effectively to meet targets and develop short-term work plans. Take on the role of Data Manager for clinical trials, overseeing Data Monitoring and Management (DMM) activities. Collaborate with partners and colleagues to ensure operational excellence and apply standards while developing data cleaning reports. Maintain high standards across all DMM deliverables and ensure data quality and completeness as specified in the Data Management Plan. Document and share lessons learned during studies to promote cross-study learning. Build strong relationships with local and global subject matter experts (SMEs) to leverage their expertise in systems and processes, proactively identifying issues and developing solutions. Here Is What You Need (Minimum Requirements) BA/BS with at least 2 years of experience or MBA/MS with any years of experience Relevant pharmaceutical industry experience Demonstrated knowledge of data management processes and principles Proficiency in web-based data management systems Working knowledge of electronic document management systems Familiarity with the International Conference on Harmonization, particularly Good Clinical Practices Thorough understanding of clinical study management and regulatory operations processes Effective verbal and written communication skills Bonus Points If You Have (Preferred Requirements) Master's degree Experience using data visualization tools Proficient experience using commercial clinical data management systems and/or EDC products Awareness of regulatory requirements and relevant data standards Strong analytical and problem-solving skills Ability to work collaboratively in a team environment Excellent organizational and time management skills Work Location Assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week. The annual base salary for this position ranges from $80,300.00 to $133,900.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 10.0% of the base salary. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. Medical

Job Description: ERP Master Data Management (MDM), Data Analytics & Integration Techno-Functional Lead The San Francisco Chronicle has recognized Nextpower (Nasdaq: NXT) as one of the Top Workplaces. Join our growing team! This is a hybrid role (4 days/week onsite) at our headquarters in Fremont, California. We are seeking a highly skilled and motivated ERP Master Data Management (MDM), Data Analytics & Integration Techno-Functional Lead to design, govern, and deliver Nextracker's Product Data Hub, Customer Data Hub, Financial Data Hub, ERP Analytics, and Integration architecture. This is a strategic role ensuring data quality, consistency, and availability across ERP and enterprise systems, while also enabling seamless integrations and actionable business insights. The ideal candidate combines hands-on ERP/MDM expertise, strong analytics acumen, and integration leadership experience in a project-based discrete manufacturing environment (captive and outsourced). Deep ERP knowledge-specifically Oracle Fusion Cloud or SAP-is required, along with a proven track record in enterprise reporting, system integration, and data governance. Experience with Azure Data Factory (ADF) and Enterprise Data Warehouse (EDW) is highly desirable to support scalable data management and integration initiatives. Key Responsibilities MDM Strategy & Governance Define and implement master data governance frameworks across Product, Customer, and Financial Data Hubs. Establish standards, hierarchies, stewardship roles, and audit controls. Product Data Hub Manage product master data (items, BOMs, routings, attributes), ensuring consistency across ERP, PLM, and Manufacturing systems. Customer Data Hub Govern customer and partner master data (hierarchies, accounts, contacts, credit), aligned with CRM and Order-to-Cash processes. Financial Data Hub Manage financial master data (chart of accounts, cost centers, entities, intercompany structures) to enable accurate, compliant reporting. ERP Data Analytics Lead enterprise-wide ERP analytics strategy. Define KPIs, dashboards, and predictive models in partnership with Finance, Supply Chain, Manufacturing, and Procurement teams. Drive adoption of BI tools and ERP-native analytics. Integration Leadership Oversee ERP integration strategy and execution across PLM, MES, WMS, CRM, HR, and reporting platforms. Ensure data flow integrity, performance, and governance for APIs and middleware. Data Migration & Cleansing Lead ERP master data and transaction data migration efforts, ensuring accuracy, reconciliation, and cutover readiness. Data Quality & Controls Define KPIs for master data and integration quality. Implement monitoring, error handling, and remediation workflows. Partner with SOX/Internal Audit for governance and compliance controls. Technology Enablement Evaluate, implement, and manage MDM, Integration, and Analytics platforms (Oracle EDMCS, SAP MDG, Informatica, MuleSoft, Tableau, Power BI, Oracle Analytics Cloud, Azure Data Factory,). Innovation Apply Generative AI and Agentic AI to accelerate data creation, enrichment, anomaly detection, predictive insights, and integration monitoring. Qualifications Bachelor's degree in Computer Science, Data Management, Engineering, or a related field (Master's preferred). 15+ years of IT/ERP experience with deep exposure to master data, integrations, and analytics. 10+ years of hands-on ERP experience managing Product, Customer, and Financial data domains in Oracle EBS, Oracle Fusion Cloud, or SAP. Proven expertise in ERP integrations across PLM, MES, WMS, CRM, and BI platforms. Strong track record in ERP analytics/reporting (KPIs, dashboards, visualization). Experience leading ERP data migration, cleansing, and governance programs. Excellent program leadership, cross-functional collaboration, and stakeholder management skills. Ability to thrive in a global, fast-paced, and highly collaborative environment. Preferred Qualifications Experience in renewable energy, manufacturing, or high-tech industries. Familiarity with MDM and integration platforms (Oracle EDMCS, SAP MDG, Informatica, Reltio, MuleSoft). Certifications such as PMP, Six Sigma, or data governance/data management credentials (DAMA, CDMP, CBIP). Why Join Us? Lead enterprise-wide data governance, analytics, and integration strategy at a high-growth, mission-driven company. Enable trusted data, seamless integrations, and actionable insights that power our ERP transformation. Partner with leaders across Finance, Supply Chain, Procurement, and Manufacturing to build a world-class ERP ecosystem. Competitive compensation, benefits, and flexible work arrangements. Nextpower offers a comprehensive benefits package. We provide health care coverage, dental and vision, 401(K) participation including company matching, company paid holidays with unlimited paid time off, generous discretionary company bonuses, life and disability protection and more. Employees in certain positions may be eligible for stock compensation. All plans are in accordance with relevant plan documents. For more information on Nextpower's benefits please view our company website at www.Nextpower.com. Pay is based on market location and may vary based on factors including experience, skills, education and other job-related reasons. The annual salary range for this position is $180,000 to $195,000. NEXRSR At Nextpower, we are driving the global energy transition with an integrated clean energy technology platform that combines intelligent structural, electrical, and digital solutions for utility-scale power plants. Our comprehensive portfolio enables faster project delivery, higher performance, and greater reliability, helping our customers capture the full value of solar power. Our talented worldwide teams are redefining how solar power plants are designed, built, and operated every day with smart technology, data-driven insights, and advanced automation. Together, we're building the foundation for the world's next generation of clean energy infrastructure. Nextpower is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We are Nextpower

Boston, Chicago, New York, Dallas, Toronto, Montreal Lead Data Scientist ____ WHO WE ARE Oliver Wyman is a global leader in management consulting. With offices in 50+ cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. Our 4000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients' top and bottom lines. Our clients are the CEOs and executive teams of the top Global 1000 companies. ____ PRACTICE OVERVIEW At Oliver Wyman Digital we partner with clients to deliver breakthrough outcomes for their toughest digital challenges. We blend the power of digital technology with deep industry expertise to tackle disruption and create impact. By building strong capabilities and culture, we accelerate and embed digital transformation. Our people co-create and grow customer-focused solutions that win. We modernize technology and harness value from data and analytics. We build resilience so our clients are ready for tomorrow's risks and can optimize operations for the future. Above all, we work collaboratively with our clients' leaders, employees, stakeholders, and customers to jointly define, design, and achieve lasting results. ____ THE ROLE AND RESPONSIBILITIES Our clients drive our projects - and no two OW Digital projects are the same. You'll be working with varied and diverse teams to deliver unique and unprecedented products across industries. As a Lead Data Scientist, you are primarily responsible for managing technical projects, including data engineering, model selection and design, and infrastructure deployment in both internal and client environments. We want and expect our people to develop deep expertise in a particular industry (financial services, health and life sciences, etc.), but you should be comfortable developing methods and selecting approaches based on a combination of first principles thinking, curiosity, and your pre-built foundations of software engineering and development. As a Data Scientist, you will work alongside Oliver Wyman partners in the Digital and other practice groups, engage directly with clients to understand their business challenges, and craft appropriate solutions to be delivered through collaboration with other OW Digital specialists and consultants. Your responsibilities will include: Exploring data, building models, and evaluating solution performance to resolve core business problems Explaining, refining, and collaborating with stakeholders through the journey of model building Keeping up with your domain's state of the art & developing familiarity with emerging modelling and data engineering methodologies Advocating application of best practices in modelling, code hygiene and data engineering Leading the development of proprietary statistical techniques, algorithms or analytical tools on projects and asset development Working with Partners and Principals to shape proposals that leverage our data science and engineering capabilities ____ YOUR EXPERIENCE & QUALIFICATIONS You are a well-rounded technologist who brings a wealth of real-world experience and: Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science Compelling track record of designing and deploying large-scale technical solutions, which deliver tangible, ongoing value including: Building and deploying robust, complex production systems that implement modern data science methods at scale, including supervised learning (regression and classification with linear and non-linear methods) and unsupervised learning (clustering, matrix factorization methods, outlier detection, etc.) Leveraging cloud-based infrastructure-as-code (CloudFormation, Bicep, Terraform, etc.) to minimize deployment toil and enabling solutions to be deployed across environments quickly and repeatably Demonstrating comfort and poise in environments where large projects are time-boxed, and therefore consequential design decisions may need to be made and acted upon rapidly Demonstrated fluency in modern programming languages for data science (i.e. at least Python, other expertise welcome), covering the full ML lifecycle (e.g. data storage, feature engineering, model persistence, model inference, and observability) using open-source libraries, including: Knowledge of one or more machine learning frameworks, including but not limited to: Scikit-Learn, TensorFlow, PyTorch, MxNet, ONNX, etc. Familiarity with the architecture, performance characteristics and limitations of modern storage and computational frameworks, with cloud-first considerations for Azure and AWS particularly welcome A history of compelling side projects or contributions to the Open-Source community is valued but not required Solid theoretical grounding in the mathematical core of the major ideas in data science: Deep understanding of a class of modelling or analytical techniques (e.g. Bayesian modeling, time-series forecasting, etc.) Fluency in the mathematical principles and generalizations of data science - e.g., Statistics, Linear Algebra and Vector Calculus Experience presenting at high-impact data science conferences and solid connections to the data science community (e.g., via meetups, continuing relationships with academics, etc.) is highly valued Interest/background in Financial Services, and capital markets in particular, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries ____ YOUR ATTRIBUTES Our team comprises all sorts of people from all sorts of backgrounds. We don't care whether you're loud or quiet, funny, or serious, introverted or extroverted. We do, however, ask that you have: An undergraduate or advanced degree from a top academic program A genuine passion for technology and solving problems A pragmatic approach to solutioning and delivery Excellent communication skills, both verbal and written A clear commitment to creating impactful solutions that solve our clients' problems The ability to work fluidly and respectfully with our incredibly talented team Willingness to travel for targeted client and/or internal stakeholder meetings ____ OUR VALUES & CULTURE We're serious about making OW Digital a rewarding, enjoyable, and balanced place to work. Rewarding work We've worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman's status as one of the Fortune 100 "Best Companies to Work For", and you get a rewarding combination of challenge, support, and recognition. Progressive employment Flat organizational structures, resolute I&D values, and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time. Enjoyable days We want our team members to build a career here-and to be happy. That makes us serious about caring for, mentoring, developing, and sponsoring each other. This commitment also leads to opportunities for social impact and community work on company time. Balanced lives Our work is demanding, and we want you to have the best work-life balance you can. We'll work with you to accommodate your personal life with flexible hours and the ability to work from home. ____ HOW TO APPLY If you like what you've read, we'd love to hear from you! You can find this and other roles and submit your CV at https://careers.marshmclennan.com/global/en/oliver-wyman-search . And please include a short note introducing yourself and what you're looking for. The application process will include both technical testing and team fit interviews. Oliver Wyman is an equal opportunity employer. Our commitment to diversity is genuine, deep, and growing. We're not perfect, but we're working hard right now to make our teams balanced, representative and diverse. ____ _ ABOUT OLIVER WYMAN Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit www.oliverwyman.com. Follow Oliver Wyman on Twitter @OliverWyman. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $150,00 to $195,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.

Job Family: Data Science Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public Trust What You Will Do: We are seeking an experienced Data Engineer to join our growing AI and Data practice, with a dedicated focus on the Federal Civilian Agencies (FCA) market within the Communities, Energy & Infrastructure (CEI) segment. This individual will be a hands-on technical contributor, responsible for designing and implementing scalable data pipelines and interactive dashboards that enable federal clients to achieve mission outcomes, operational efficiency, and digital transformation. This is a strategic delivery role for someone who thrives at the intersection of data engineering, cloud platforms, and public sector analytics. Client Leadership & Delivery Collaborate with FCA clients to understand data architecture and reporting needs. Lead the development of ETL pipelines and dashboard integrations using Databricks and Tableau. Ensure delivery excellence and measurable outcomes across data migration and visualization efforts. Solution Development & Innovation Design and implement scalable ETL/ELT pipelines using Spark, SQL, and Python. Develop and optimize Tableau dashboards aligned with federal reporting standards. Apply AI/ML tools to automate metadata extraction, clustering, and dashboard scripting. Practice & Team Leadership Work closely with data architects, analysts, and cloud engineers to deliver integrated solutions. Support documentation, testing, and deployment of data products. Mentor junior developers and contribute to reusable frameworks and accelerators. What You Will Need: US Citizenship is required Bachelor's degree is required Minimum FIVE (5) years of experience in data engineering and dashboard development Proven experience with Databricks, Tableau, and cloud platforms (AWS, Azure, GCP) Strong proficiency in SQL, Python, and Spark Experience building ETL pipelines and integrating data sources into reporting platforms Familiarity with data governance, metadata, and compliance frameworks Excellent communication, facilitation, and stakeholder engagement skills What Would Be Nice To Have: Master's Degree AI/LLM Certifications Experience working with FCA clients such as DOT, GSA, USDA, or similar Familiarity with federal contracting and procurement processes What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries. In this role, the Associate will support the U.S. Banks Data Quality Program by driving compliance with the Firm's Data Quality Policy and procedures, with a focus on BCBS 239 requirements across Risk and Finance. The Associate role is in the U.S. Banks First Line Business Risk team. This team is responsible for managing risks associated with Data Quality. This role requires regular interaction with other divisions across firm, technology, Bank Business partners, Bank Data Stakeholders, Compliance, Second Line Risk and Internal Audit. Primary Responsibilities Include: Ensure compliance with the Global Data Quality Policy and BCBS 239 standards for prioritized data domains across U.S. Banks. Partner with the Firm Data Office, Divisional Data Offices, and Technology teams to: Conduct data flow analysis. Assess and monitor data quality controls. Identify data owners and catalog metadata in Collibra. Manage annual re-attestation processes. Define solutions including dashboards, automated communications, and data quality management processes. Partner with project and technology teams to enhance controls and optimize data processes. Develop and maintain dashboards and performance metrics for periodic reporting to management committees and senior leadership. Maintain procedural documentation, including desktop procedures, to support consistent execution. Partner with technology teams to ensure data sourcing from authoritative systems to improve data quality. Communicate project progress, risks, and issues to stakeholders with clarity and consistency. Qualifications Bachelor's degree in Business, Finance, or a related field. Minimum 2 - 3 years of professional experience, ideally within the financial services industry, with demonstrated expertise in data management, governance, quality, lineage, and issue remediation. Advanced proficiency in Microsoft Excel, PowerPoint, Outlook, Word, Visio and other MS Office Tools. Proven ability to collaborate across functions and manage multiple priorities in a fast-paced, Agile environment. Strong Attention to detail and the ability to handle, prioritize multiple tasks and projects concurrently. Highly motivated / self-starter with a sense of accountability & ownership, willingness to learn, and ability to work independently. Excellent written and verbal communication skills. Experience performing business analysis, writing business requirement document, and creating mock dashboards. The ability to work effectively within a local and global team, as well as independently. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Expected base pay rates for the role will be between $58,000 and $115,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).