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Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 4 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Structuring, write, communicate and facilitate client presentations; and, Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing AI/GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $84,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Company Overview: When it comes to IT solution providers, there are a lot of choices. But when it comes to providers with innovative and differentiating end-to-end service offerings, there's really only one: Zones - First Choice for IT.TM Zones is a Global Solution Provider of end-to-end IT solutions with an unmatched supply chain. Positioned to be the IT partner you need, Zones, a Minority Business Enterprise (MBE) in business for over 35 years, specializes in Digital Workplace, Cloud & Data Center, Networking, Security, and Managed/Professional/Staffing services. Operating in more than 120 countries, leveraging a robust portfolio, and utilizing the highest certification levels from key partners, including Microsoft, Apple, Cisco, Lenovo, Adobe, and more, Zones has mastered the science of building digital infrastructures that change the way business does business ensuring whatever they need, they can Consider IT Done. Follow Zones, LLC on Twitter @Zones, and LinkedIn and Facebook. Position Overview: To perform this job successfully an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable the individuals with disabilities to perform the essential functions. The Technical Delivery Architect, Cloud / Data Center serves as the critical link between the presales/solutioning phase and the delivery of IT solutions for our clients. This role is responsible for ensuring seamless hand off's from the sales and solutioning team to the delivery team, translating client requirements and expectations into actionable, structured delivery plans. The Technical Delivery Architect will work closely with the presales, solutions, transition and delivery teams, ensuring that solutions are both practical and feasible, while maintaining client satisfaction. What you'll do as the Technical Delivery Architect, Cloud / Data Center: The requirements below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not intended to be a comprehensive list of the duties and responsibilities of the position, and the duties and responsibilities may change without notice. Collaboration between Teams: Work closely with the presales/solutioning team to understand the client's business requirements, solution design, and technical specifications. Ensure that these elements are aligned with the delivery and transition team's capabilities and processes. Solution Review & Refinement: Analyze proposed solutions to identify potential risks, gaps, or challenges that may impact the transition and or delivery of the in scope services. Offer recommendations for refinement to ensure solutions are both deliverable and scalable. Transition Planning & Delivery Execution: Develop and lead the creation of the initial transition plan from the presales phase to the delivery phase, ensuring a smooth handover of all client requirements, expectations, and solution architecture. Act as the point of contact for both the solutioning and delivery teams. Risk Management & Mitigation: Identify any potential risks during the solution and transition phases and develop strategies to mitigate those risks. Ensure timely resolution of issues that may arise during the handover or delivery stages. Documentation & Knowledge Transfer: Ensure that all necessary documentation (e.g., technical specifications, client requirements, transition plans, etc.) is complete and accurate. Facilitate knowledge transfer sessions between presales/solutioning and the transition and delivery teams to ensure clarity and understanding of the solution. Stakeholder Communication: Serve as a communication bridge between presales, solutioning, and delivery teams. Provide regular updates to key stakeholders (internal teams and clients) on transition progress, timelines, and any issues that may arise. Continuous Improvement: Contribute to the refinement of the handover process, leveraging lessons learned to improve future solutions and transitions. Propose best practices and process improvements to enhance the overall transition experience for both clients and internal teams. Technical Leadership: Provide expert-level technical guidance during the transition phase. Help the delivery teams understand the intricacies of the solution, including any customizations, integrations, or specific client requirements. Client Engagement: Occasionally interact with clients to clarify requirements, present transition plans, or resolve issues. Ensure that the client's expectations are properly set and that all deliverables are aligned with the initial proposal What you will bring to the team: Experience: At least 10+ years of experience in IT solutions delivery, with a proven background in managing transitions from presales/solutioning to delivery. Experience in solutioning, transitioning and delivering Cloud / Data Center services Strong understanding of IT solution architecture, service delivery, and project management. Technical Skills: Familiarity with a variety of IT solution areas and a mix of Professional and Managed Services projects, with additional Subject Matter expertise in Cloud / Data Center Technical certifications in Cloud / Data Center technologies Experience with ITIL or other IT service management frameworks is required. Communication: Strong written and verbal communication skills with the ability to interact effectively with both technical and non-technical stakeholders. Experience in producing clear and concise documentation for technical and business audiences. Problem-Solving: Ability to identify, analyze, and resolve complex issues that arise during the transition process. Strong analytical and troubleshooting skills. Project Management: Familiar with agile methodologies, project management frameworks, and tools. Ability to manage multiple tasks and priorities in a fast-paced environment. Core Competencies: Excellent interpersonal and leadership skills, with the ability to influence without direct authority. Strong focus on customer satisfaction and the ability to manage client expectations. Ability to manage cross-functional teams and ensure alignment across various business functions. Detail-oriented, with a strong focus on quality and accuracy in all aspects of work. Strong time management skills with the ability to prioritize tasks and manage competing deadlines. Certifications: ITIL, PMP, or other relevant certifications are desired. Technical certifications in Cloud / Data Center Qualified candidates can expect a salary range of $170,000- $220,000. #LI-EB1 #LI-Remote Zones offers a comprehensive Benefits package While we're committed to providing top-tier solutions, we're just as committed to supporting our own team. Our team members enjoy a variety of comprehensive benefits, including medical, dental and vision coverage, life insurance, disability insurance, a 401(k) plan with matching provision, and many more. Generally, Zones currently offers paid time off and personal sick leave in compliance to individual state requirements. At Zones, work is more than a job - it is an exciting career on a global team that is client centric, has a passion for technology, embraces change and lifelong learning in a collaborative culture. And as a Minority Business Enterprise, a Corporate Plus member of the Northwest Minority Supplier Development Council, and an Equal Employment Opportunity Employer, our community is just as diverse. If you're interested in working on the cutting edge of IT innovation, sales, engineering, operations, administration, and more, Zones is the place for you! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status or on the basis of disability. Zones participates in E-Verify. E-Verify is a system that compares information from a team member's Form I-9 to federal records to confirm their eligibility to work in the United States.

Sr. Data Engineer Employment Type:Full-Time, Mid-level /p> Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients' toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Complete development efforts across data pipeline to store, manage, store, and provision to data consumers. Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices. Write code to ensure the performance and reliability of data extraction and processing. Support continuous process automation for data ingest. Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing. Work with program management and engineers to implement and document complex and evolving requirements. Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork. Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications: Must be a US Citizen. Must be able to obtain a Public Trust Clearance. 7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models. Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats. Proficiency in developing ETL processes, and performing test and validation steps. Proficiency to manipulate data (Python, R, SQL, SAS). Strong knowledge of big data analysis and storage tools and technologies. Strong understanding of the agile principles and ability to apply them. Strong understanding of the CI/CD pipelines and ability to apply them. Experience with relational database, such as, PostgreSQL. Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have: Experience creating and consuming APIs. Experience with DHS and knowledge of DHS standards a plus. Candidates will be given special consideration for extensive experience with Python. Ability to develop visualizations utilizing Tableau or PowerBI. Experience in developing Shell scripts on Linux. Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions. Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package: Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com $144,768 - $209,109.33 a year

About Suno At Suno, we are building a future where anyone can make music. You can make a song for any moment with just a few short words. Award-winning artists use Suno, but our core user base consists of everyday people making music - often for the first time. We are a team of musicians and AI experts, including alumni from Spotify, TikTok, Meta and Kensho. We like to ship code, make music and drink coffee. Our company culture celebrates music and experimenting with sound - from lunchroom conversations to the studio in our office. About the Role We're seeking talented data engineers to join our founding team, working closely with key stakeholders and taking ownership of building and shaping Suno's core data foundation. Check out our Suno version of the job here! What You'll Do Serve as a critical contributor to the Suno products team, providing insights and solutions that influence high-level decisions and shape the product roadmap. Design, develop, and maintain complex data products, systems, platforms, and pipelines to build scalable, secure, and high-quality big data solutions that seamlessly integrate diverse data sources, process high-volume real-time and batch data, and ensure data integrity, quality, and compliance. Collaborate with scientists, ML engineers, software developers, business leaders, and product teams to define data requirements, architect solutions, and implement data-driven opportunities that enhance customer experiences. Leverage advanced analytics and data engineering practices to uncover actionable customer insights that drive the development of innovative and enhanced customer experiences for Suno. Implement and monitor data systems to ensure high availability, reliability, and scalability while advocating for and applying best practices in big data engineering and analytics. What You'll Need 5+ years of experience in data engineering, with a strong grasp of Big Data engineering concepts, data architecture design, and performance optimization. Experience with data modeling, warehousing and building ETL pipelines. Experience with SQL and Python. Experience in scaling data pipelines from the ground up (0 to 1) Familiarity with Airflow, DBT, and Snowflake is a strong advantage. Passionate about engineering excellence, rapid iteration, learning, and hard work. Technical leadership or management experience is a plus. A love of music (listening, exploring, making) is a huge plus. Additional Notes: Applicants must be eligible to work in the US. Compensation The annual salary/OTE range for the target level for this role is $170,000 - $240,000 + target equity + benefits (including medical, dental, vision, and 401k) Benefits Healthcare for you and your dependents, with vision and dental 401k with match Generous commuter benefit Flexible PTO

Job Description: HR Data Analyst Huntsman is seeking a HR Data Analyst supporting the Polyurethanes Division located in The Woodlands, Texas. This position will report to the PU Regional HRBP. In summary, as the HR Data Analyst, you will be responsible for: Workday system integrity and data accuracy : has a coordination role with local, Regional and GBS's in order to ensure 100% of data accuracy in WorkDay. Perform random checks, audit and flag errors and mistakes to be corrected. Ensure that the organization chart in Workday reflect the real organization in the business, Merit plan and bonus plan are accurate in order to perform automatic processes. Recruitments status: regularly monitor the entire open positions, verify the status of the recruitments in agreement with local HRPB and TA. Suggest to close open Job Requisition and maintain KPI's linked to the recruitment phase. Merit and Bonus cycle: issue the communication linked to these processes including timetable in agreement with the Corporate one. Ensure that the processes are managed with 100% of accuracy. Bonus Plan and results: propose, in agreement with GBPR and VP Finance the bonus plan for the year and collect the info for the actual results for the communication with HRIS team and their implementation in the bonus process. Prepare and distribute the communication related to the bonus payout and results helping Regional HRPB with the regional and local coms. Budget and cost control: has a role of coordination for the HR and Manpower Division budget preparing the presentations and data and finalizing the budget in the system. Monthly cost control of the HR cost center flagging area of improvement or situation that need to be monitored or corrected. Prepare a monthly communication on the budget versus actual status for the respective Regional Business Partner and Global one. Cross leveling: Coordination of the timetable and collecting the final ratings for all population of the PU division, upload the approved ratings in WorkDay by Jan 31st each year. Talent bank: Set the timetable and collecting the information to prepare the Global Talent Bank pack for the discussion at the Officer meeting. Update Talent cards in WD with inputs from RBP. Ad Hoc reporting from Workday and Financial systems, collaborating with Finance to get the right information MBS ticketing system: Enter HR tickets for full employee life cycle in MBS - new hire, lateral moves, promotions, cost center corrections, data corrections, terminations etc. New Hire & Termination support: Follow exit checklist and collect company belongings from exiting employees. Coordinate with IT pick up and drop off of laptops, cellphones etc & prepare for new hires by completing and following the new hire checklist. KEY ACCOUNTABILITIES HRBP for assigned region and functions Acts as Custodian of the HR data in Workday and help local and Regional HRPB to maintain their database clean and accurate. Acts as HR leaders in the PU HR Leadership team contributing to the strategy and also to its execution Focal point of contact with CoE's and GBS's Qualifications You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. The candidate must have an unrestricted right to work for Huntsman in the United States. Minimum Qualifications Master degree / MBA or equivalent through experience. HR qualification/ certification is an asset Min. 5 years of progressive HR experience preferably with multi-country Excellent financial skills & business understanding Experience in working successfully in a multinational, matrix driven organization Proficency in Power Point and Excel Excellent understanding of business dynamics and organizational design Can deal with high level of complexity within an ever-changing business environment Excellent communication & influencing skills Strong organizational, change management and analytic skills Strong intrinsic motivation, positive charisma and high degree of personal integrity, reliability and identification with the Company Cross cultural awareness Huntsman is proud to be an equal opportunity workplace and is an affirmative action employer. We provide equal employment opportunities (EEO) to all qualified applicants for employment, without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identification, sexual orientation and/or expression or any other characteristic protected by law in every location in which we have facilities national or local. Please refer to https://www.huntsman.com/privacy/online-privacy-notice for Company's Data Privacy and Protection information. All unsolicited resumes presented by recruitment agencies are treated as pro bono information or service. Huntsman is aware of a scam involving fraudulent job offers. Huntsman does not make job offers until after a candidate has submitted a job application and has participated in a face-to-face interview. Please be advised that emails from Huntsman always end in "@huntsman.com" , and that any job offer that requires payment or requires you to deposit a check is likely a scam. If you have questions about any open positions at Huntsman, please visit our Careers website at http://www.huntsman.com/corporate/a/Careers . Additional Locations:

We're defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming. Here, "impossible" isn't part of our vocabulary. You'll face some of the toughest but most rewarding challenges of your career. They're worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers. The Crown Is Yours We're looking for a Data Engineering Manager, Games to lead a team focused on delivering innovative, scalable data solutions for our Casino product. This is a people management role with hands-on technical responsibilities - you'll support and grow a team of talented Data Engineers while staying close to the code and helping drive technical direction. You'll work closely with Technical Program Managers, Software Engineers, and Delivery Managers to power data products and reporting capabilities that are core to the Casino business. A strong sense of ownership is essential - you'll be responsible for setting the tone, driving accountability, and ensuring your team delivers high-impact work with excellence and consistency. What you'll do as a Data Engineering Manager, Games Manage and mentor a team of Data Engineers, driving career development, performance management, and team culture. Lead your squad to deliver high-quality, high-velocity solutions across the Casino domain. Stay hands-on: contribute to the codebase, provide architectural guidance, and help unblock your team on technical challenges. Ensure all data solutions are designed and built to be scalable, testable, and high-performing. Drive and facilitate technical design discussions, offering strong verbal and written contributions. Champion team health, fostering open communication, collaboration, and a strong sense of ownership. Adapt quickly to business needs and shifting priorities in a fast-moving environment. What you'll bring 3+ years of technical management experience, including direct people management (career growth, coaching, performance reviews). Strong background in Data Engineering with hands-on SQL experience across data ingestion, transformation, and delivery. Strong experience with cloud data warehouse systems (such as Snowflake, Redshift, or BigQuery); Snowflake experience is a major plus. Familiarity with tools such as Kafka, Airflow, Terraform, Python, and Datadog. A leadership style that combines technical depth with strong mentorship and team-building skills. Excellent communication skills, able to engage technical and non-technical audiences alike. Experience in the casino gaming, sports betting, or other relevant industries is a plus. A strong sense of ownership and accountability, with a bias toward action and continuous improvement. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 153,400.00 USD - 191,800.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Sr. Data Engineer Employment Type:Full-Time, Mid-level /p> Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients' toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Complete development efforts across data pipeline to store, manage, store, and provision to data consumers. Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices. Write code to ensure the performance and reliability of data extraction and processing. Support continuous process automation for data ingest. Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing. Work with program management and engineers to implement and document complex and evolving requirements. Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork. Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications: Must be a US Citizen. Must be able to obtain a Public Trust Clearance. 7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models. Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats. Proficiency in developing ETL processes, and performing test and validation steps. Proficiency to manipulate data (Python, R, SQL, SAS). Strong knowledge of big data analysis and storage tools and technologies. Strong understanding of the agile principles and ability to apply them. Strong understanding of the CI/CD pipelines and ability to apply them. Experience with relational database, such as, PostgreSQL. Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have: Experience creating and consuming APIs. Experience with DHS and knowledge of DHS standards a plus. Candidates will be given special consideration for extensive experience with Python. Ability to develop visualizations utilizing Tableau or PowerBI. Experience in developing Shell scripts on Linux. Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions. Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package: Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com $144,768 - $209,109.33 a year

WHY WE'RE LOOKING FOR YOU Retool started as a way to address obstacles with internal tools and has grown into a company that solves internal tooling for thousands of companies (big and small). As Retool's product and user base evolves, we've found ourselves with numerous opportunities to leverage data-driven insights to influence product development. To continue our fast-paced growth, we must build a world-class data science and analytics team to deliver strategic product insights. You'll help us get there by defining key metrics and developing data-driven insights to maximize impact. We're looking for someone ready to get their hands dirty, motivated by impacting the business, and constantly curious. This is the right role for someone who thrives while making sense of the blurry space that is data at a high-growth startup. WHAT YOU'LL DO As a member of the data science analytics team, you'll play a pivotal role in building the data culture at Retool. You'll initiate projects to generate strategic insights and help the company remain data-driven. You'll build data pipelines, dashboards, and reports to streamline operations, inform strategic priorities, and empower stakeholders to make data-informed decisions. You'll apply statistical knowledge and the scientific method to the data questions we face today, and help us think critically about the questions of tomorrow. WHO YOU'LL WORK WITH As a data scientist, you'll work closely with engineering, design, and product teams to size opportunities, prioritize product features, set goals, and quantify impact. We're a hard-working, passionate bunch who are motivated by collaboration, strong results, and bringing the impact of Retool to our customers. When we're in the office, we enjoy eating lunch (and occasionally dinner!) together, and we've been known for our lively game nights. But at the root of it all, we come together to show our customers and not-quite-yet customers how Retool can make them and their companies more efficient and successful. If this sounds like a fit, we'd love to hear from you! THE SKILLSET YOU'LL BRING: 4+ years of experience working in data science and/or product analytics, ideally at a high-growth enterprise SaaS business Experience defining and implementing product metrics Expertise in leveraging data to deliver actionable insights for non-technical stakeholders Skilled at data visualization, with strong opinions on the right way to distill information to various audiences Strong SQL and data modeling skills, with experience applying skills to create data models thoughtfully in a warehouse environment Proficiency in statistical analysis (e.g., descriptive statistics) A bias towards communication and collaboration with business and technical stakeholders Experience bolstering quantitative analysis with qualitative insights A solution-oriented growth mindset. You'll need to be a self-starter and thrive in a dynamic environment Comfortable with common git workflows and at least one scripting or statistical programming language (ideally Python and/or R) IN THIS ROLE, YOU'LL: Embed with engineering, product, and design teams to surface key insights Develop dashboards and define metrics that drive key product and business decisions Build and maintain ETL pipelines Work with our engineering teams to validate existing data sources, identify opportunities to improve data quality, and craft requirements for robust new instrumentation as needed Be a self-starter

Data Entry Technician Employment Type:Full-Time, Mid-Level /p> Department: Legal As a Data Entry Technician for CGS, you will maintain the database by entering and updating customer and account information. The ideal candidate should be a savvy typist as well as excellent skills in overseeing data. The integrity of data is of utmost importance and CGS is looking for someone who is detail-oriented and is comfortable working in a fast-paced environment. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Work collaboratively with other team members and supervisors to ensure that best practices are shared. Procure data through observation, interviews, and analysis of records and other sources to include the utilization of electronic equipment. Maintain databases by entering new and updated records and related information. Verifies data and prepares materials for pdf printing. Maintain data entry requirements by following data program techniques and procedures. Purges files to eliminate duplication of data. Qualifications: Bachelor's degree in computer science or related field. 1+ year of Data Entry Experience. 3+ years of MS Office experience. Excellent typing skills. Excellent communication skills. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and delivering the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com $27,178.67 - $34,944 a year

About Us: Hippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health. About the Role Hippocratic AI is seeking a skilled Audio Data Engineer to help us scale and improve our speech datasets for use in Text-to-Speech (TTS) and speech synthesis systems. In this role, you will clean and enhance real-world audio data, build automation pipelines for processing, and ensure our voice models are trained on the highest quality inputs. This work will directly shape the clarity and expressiveness of the voices used in healthcare AI applications. Responsibilities Clean, denoise, and enhance large volumes of recorded speech data for use in TTS and voice synthesis pipelines. Build and maintain automated audio preprocessing pipelines using scripting tools and open-source libraries. Apply techniques such as background noise removal, silence trimming, gain normalization, and sample rate conversion. Integrate tools like ffmpeg, sox, or Python-based scripts (pydub, torchaudio, librosa) into scalable workflows. Collaborate with ML researchers and speech scientists to deliver high-quality, ready-to-train datasets. Evaluate audio quality using perceptual and quantitative metrics, and maintain audio QA checklists. Required Qualifications Strong experience with speech/audio cleaning using tools such as iZotope RX, Audacity, Adobe Audition, or SoX. Proficiency in Python and audio-related scripting for automation and batch processing. Familiarity with digital audio principles, including sample rates, bit depth, frequency bands, and compression artifacts. Experience designing or operating scalable, automated workflows for handling audio at volume. Meticulous attention to detail in audio quality control and error spotting. Nice to Have Experience working on TTS model pipelines (e.g., Tacotron, VITS, FastSpeech) or speech synthesis datasets. Background in audio engineering, phonetics, or signal processing. Familiarity with real-time or low-latency audio processing constraints. Experience with cloud platforms and tools for automation (e.g., AWS, Airflow, or containerized audio workflows). Why Join Our Team: Innovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale. Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA. Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA's NVentures, Premji Invest, SV Angel, and six health systems. World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes. For more information, visit www.HippocraticAI.com. Our team values in-person collaboration, with on-site presence expected five days a week in Palo Alto, CA.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Lead in line with our values and brand. Develop new ideas, solutions, and structures; drive thought leadership. Solve problems by exploring multiple angles and using creativity, encouraging others to do the same. Balance long-term, short-term, detail-oriented, and big picture thinking. Make strategic choices and drive change by addressing system-level enablers. Promote technological advances, creating an environment where people and technology thrive together. Identify gaps in the market and convert opportunities to success for the Firm. Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements. As part of the Data and Analytics Engineering team you are expected to develop and implement data-driven strategies to drive business growth and enhance decision-making. As a Director you are responsible for setting the strategic direction and leading business development efforts, making impactful decisions and overseeing multiple projects while maintaining executive-level client relations. This role involves defining data management and governance strategies, collaborating on transformation projects, and leveraging modern cloud data architectures to align data initiatives with organizational goals. Responsibilities Develop and implement data-driven strategies to enhance business growth Set strategic direction for data initiatives and lead business development Oversee multiple projects while maintaining executive-level client relations Define data management and governance strategies Collaborate on transformation projects to align with organizational goals Leverage modern cloud data architectures for enhanced data alignment Drive impactful decision-making processes Foster an environment where people and technology thrive together What You Must Have Bachelor's Degree 10 years of experience What Sets You Apart Azure Data Fundamentals or Azure Data Engineering certifications preferred Developing data-driven strategies for business growth Defining data management and governance strategy Conducting regular data/analytics strategy refresh Collaborating on strategy and transformation projects Understanding modern cloud data architectures Implementing cloud data architecture and integration patterns Applying knowledge in Big Data engineering and ETL/ELT Designing advanced analytics solutions and AI/ML models Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $148,000 - $317,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Encourage everyone to have a voice and invite opinion from all, including quieter members of the team. Deal effectively with ambiguous and unstructured problems and situations. Initiate open and candid coaching conversations at all levels. Move easily between big picture thinking and managing relevant detail. Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required. Contribute technical knowledge in area of specialism. Contribute to an environment where people and technology thrive together to accomplish more than they could apart. Navigate the complexities of cross-border and/or diverse teams and engagements. Initiate and lead open conversations with teams, clients and stakeholders to build trust. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 9 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates abilities and/or success in one or more of the following areas: Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse; Understanding of file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Implementing enterprise data solutions concepts such as Master Data Management, Data Governance and Enterprise Data Warehouse; Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (kubernetes/Docker, etc.); Possessing P&C Insurance industry experience, including a proven understanding of insurance data, underlying KPIs and how they are used; and, Understanding of Insurance product like Guidewire (PolicyCenter, BillingCenter, & ClaimsCenter). Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or strong consulting experience in strategy through execution projects; Leading the ideation and development of accelerators/prebuilt solutions that package leading practices and enable rapid deployment of high quality solutions for our clients; Leading and shaping the development of and execution of GTM strategy and industry specific offerings / assets; Leading the development and delivery of sales support materials for Data Integration opportunities, including delivery of client training and industry events; Acting as a subject matter specialist on Data architectures/tools/solutions, leveraging your knowledge and experience to meet client's needs; Leading and driving the sizing effort related to Data work, plan and build strong teams utilizing onsite/offshore mix, utilizing deployment models for efficient delivery of solution; Performing as a team leader by creating a positive environment, building team members based on coaching and mentoring, shaping next generation of Data Integration leaders; Monitoring workloads of the team while meeting client expectations and respecting the work-life quality of team members; and, Providing candid feedback in a timely manner and keeping leadership informed of progress and issue. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $130,000 - $256,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 1 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Structuring, write, communicate and facilitate client presentations; and, Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing AI/GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $75,000 - $118,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector EUR X-Sector Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Required Field(s) of Study Management Information Systems, Computer and Information Science, Systems Engineering,Electrical Engineering,Chemical Engineering,Industrial Engineering,Mathematics,Statistics,Mathematical Statistics Minimum Year(s) of Experience 5 year(s) Preferred Qualifications Demonstrates abilities and/or success in one or many of the following areas: Design and implement comprehensive data architecture strategies that meet current and future business needs; Develop and document data models, data flow diagrams, and data architecture guidelines; Ensure data architecture is compliant with data governance and data security policies; Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions; Evaluate and recommend new data technologies and tools to enhance data architecture; Evaluate data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Lead and drive data strategy engagements providing thought leadership to client and internal tech stakeholders and leadership; Develop leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management Lead the implementation of cloud-based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architect, design, build and optimize ETL/ELT pipelines for data ingestion, processing, and storage; Develop and deploy scalable data storage solutions using AWS, Azure and GCP services such as S3, Redshift, RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.; Architect & Implement data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services; Architect, Design and implement data warehouses and data lakes, ensuring data is organized and accessible; Develop frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architect and oversee implementation of IAM roles and policies to manage access and permissions within AWS, Azure, GCP; Develop automation strategies leveraging AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments; Architect and implement services using AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines; Develop data security best practices using AWS, Azure, GCP, Snowflake or Databricks; Optimize Cloud resources for cost, performance, and scalability; Strong proficiency in SQL and experience with relational databases; Proficient in programming languages such as Python, Java, or Scala; Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security best practices; Strong analytical, problem-solving, and communication skill; and, Ability to work independently and as part of a team in a fast-paced environment. Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; Coaching and collaborating with members on the Team who assist with this work, including providing coaching, feedback, and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

About Foursquare Foursquare is the leading independent location technology and data cloud platform, helping businesses connect the digital and physical worlds with precision and purpose. Our products power everything from market analytics to targeted experiences, relied on by some of the world's most iconic brands. But what makes Foursquare truly special is how we work. We're a team of builders, problem-solvers, and collaborators who care deeply about impact - both in the products we ship and the way we show up for each other. Great outcomes come from strong collaboration and shared ownership, and we believe growth happens through real challenges - whether that's leveling up a skill, tackling unfamiliar problems, or pushing a project forward in a new way. If you're excited by cutting-edge tech and a culture that values both autonomy and teamwork, you'll thrive here. About the Team: As a data engineer on the Places team, you will contribute to the platform services and pipelines that facilitate large-scale data ingestion and governance. You will ship software with high visibility and of strategic importance to Foursquare, directly impacting revenue and the experience of our customers and Open Source community. You will focus on implementing and productionization of our ML models, working closely with our Data Science team to improve model performance and scalability. The Places team owns all components of our places dataset: from ingestion and data expansion, to delivery mechanisms like our APIs. We own and iterate on the core building blocks of our customer and Open Source Places Product offering, which lays the foundation for Fourquare's other products and services. About the Position Foursquare is looking for a Data Engineer to join our team in our New York office; on a hybrid schedule of Tuesday, Wednesday, Thursday in office. Our engineering organization has transitioned to a performance system that prioritizes experience, skills, and impact over traditional hierarchy. By simplifying titles and focusing on market-based levels, we aim to cultivate a high-performing, team-based environment where collaboration and innovation are at the heart of everything we do. While our titles no longer include conventional levels like 'Senior' or 'Director,' we expect all members of our Engineering organization to embrace principled thinking and truth-seeking as we work together to pursue the best ideas and solutions for our business. We understand that this philosophy may not be for everyone, but we'd love for you to apply if this collaborative way of working resonates with you. In this role you'll: Influence key decisions on architecture and implementation of scalable, automated data processing workflows Build big data processing pipelines using Spark and Airflow Focus on performance, throughput, and latency, and drive these throughout our architecture Write test automation, conduct code reviews, and take end-to-end ownership of deployments to production Write, deploy, and monitor services for data access by systems across our infrastructure Participate in on-call rotation duties Act as a force multiplier, conducting code reviews, and coordinating cross-team efforts Implement and advocate for best practices in testing, code quality, and CI/CD pipelines What you'll need: BS/BA in a technical field such as computer science or equivalent experience. 3+ years of experience in software development, working with production-level code. Proficiency in one or more of the programming languages we use: Python, Java or Scala Excellent communication skills, including the ability to identify and communicate data-driven insights. Self-driven and feel comfortable learning without much hand-holding Eagerness to learn new technologies Your own unique talents! If you don't meet 100% of the qualifications outlined above, we encourage and welcome you to still apply! Nice to have: Experience with relational or document-oriented database systems, such as Postgres and MongoDB and experience writing SQL queries. Experience with cloud infrastructure services, such as AWS(S3, EMR, EC2, Glue, Athena, SQS, SNS) or GCP Experience with data processing technologies and tools, such as Spark, Hadoop(HDFS, Hive, MapReduce), Athena, Airflow, Luigi Our Tech Stack: Languages: Java, Scala, Python Tools for pipeline orchestration: Airflow, Luigi Data Processing Frameworks: Spark, MapReduce, Scalding Benefits and Perks: Flexible PTO - take the time you need to rest and recharge Comprehensive healthcare - industry-competitive medical, dental, vision, and life insurance 401(k) with company match - invest in your future with support from Foursquare Family planning support - access fertility and family-building programs through Carrot Growth Investment Program - funding and resources to support your personal and professional development Tech setup - we'll provide a company laptop and the essentials to help you get up and running smoothly Hybrid work schedule - in-person collaboration on Tues/Wed/Thurs for hybrid roles (remote roles excluded) At Foursquare, we're committed to offering competitive pay and benefits that reflect market standards and the unique strengths each candidate brings. Actual compensation is based on a variety of factors, including skills, experience, and office location. We also regularly review our compensation practices to ensure fairness, equity, and alignment with evolving market trends. The estimated annual total cash compensation range for this role is $100,000 - $170,000. While final offers may vary slightly based on individual qualifications, we aim to stay within this published range to support pay equity and transparency across the organization. Salary is just one part of our total compensation package, which also includes restricted stock units, comprehensive health insurance options, and a wide range of benefits. Things to Know Foursquare is proud to foster an inclusive environment, free from discrimination. We believe that building the best products starts with bringing together diverse perspectives and backgrounds - it's how we create better experiences for both our users and our team. We value every voice, and we encourage you to be part of building a company and products we love. Foursquare is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Foursquare Privacy Policy #LI-HYBRID #LI-MM1

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. Executive Director- Engineering- Data and Ecosystem Platform Position: Executive Director, Engineering - Data and Ecosystem Platform, Boston/US Position Summary:The Executive Director Engineering, Data and Ecosystem Platform is responsible for driving vision and purpose, engineering excellence, and delivering outcomes in the Data Platform zone. This role involves building the roadmap for the team by collaborating with various Architects, Product Managers, UX, and other team members across the US and AHI. This includes driving the broader vision around data analytics, pipelines, governance, frameworks, internal and external source processing, and leveraging AI capabilities. This role requires a visionary leader with a strong technical background and a proven track record in managing large-scale data systems and analytics platforms. Essential Functions: Building Effective Teams: Maintain product knowledge, provide managerial oversight, clarify roles, set performance goals, reward team efforts. Driving Execution and Outcomes: Maintain technical knowledge, participate in release planning, manage risks, shape product vision, monitor budgets, ensure quality releases. Engineering Excellence: Align release planning, create organizational change initiatives, resolve dependencies, uphold software architecture standards, advocate for best practices. Agile: Champion agile methodologies, optimize customer outcomes, lead innovation efforts, promote collaboration. Communicates Effectively: Create venues for dialogue, demonstrate openness, communicate to various audiences, promote information flow. Ensures Accountability: Monitor performance, create accountability environment, ensure commitments are met. Balances Stakeholders: Collaborate with various teams, respond to stakeholder needs, optimize decisions, consider cultural and ethical factors. Strategic Mindset: Clarify vision and strategy, prioritize efforts, pursue sustainable value, leverage competitive advantages. Education, Experience, & Skills Required: 15+ years of experience leading global and distributed teams delivering scalable software solutions Experience in leading teams in building enterprise scale data architecture and data pipelines; platforms for reporting, data engineering, analytics, and solving business and healthcare problems Track record of developing employees both technically and professionally Hands-on experience working in an Agile environment Proficiency in one or more programming languages such as Java, C#, NodeJS, and Python Experience in distributed systems and Cloud-based architecture especially pertaining to large data warehouses and data lakes like Snowflake and Databricks Experience with real time data pipelines and streaming analytics like Kafka, AWS Kinesis, AWS MSK, Redis, or Apache Spark Familiarity with Unix/Linux, Big Data, SQL, NOSQL, and other related technologies Familiarity with developments in AI technologies About athenahealth Here's our vision: To create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. What's unique about our locations? From an historic, 19th century arsenal to a converted, landmark power plant, all of athenahealth's offices were carefully chosen to represent our innovative spirit and promote the most positive and productive work environment for our teams. Our 10 offices across the United States and India - plus numerous remote employees - all work to modernize the healthcare experience, together. Our company culture might be our best feature. We don't take ourselves too seriously. But our work? That's another story. athenahealth develops and implements products and services that support US healthcare: It's our chance to create healthier futures for ourselves, for our family and friends, for everyone. Our vibrant and talented employees - or athenistas, as we call ourselves - spark the innovation and passion needed to accomplish our goal. We continue to expand our workforce with amazing people who bring diverse backgrounds, experiences, and perspectives at every level, and foster an environment where every athenista feels comfortable bringing their best selves to work. Our size makes a difference, too: We are small enough that your individual contributions will stand out - but large enough to grow your career with our resources and established business stability. Giving back is integral to our culture. Our athenaGives platform strives to support food security, expand access to high-quality healthcare for all, and support STEM education to develop providers and technologists who will provide access to high-quality healthcare for all in the future. As part of the evolution of athenahealth's Corporate Social Responsibility (CSR) program, we've selected nonprofit partners that align with our purpose and let us foster long-term partnerships for charitable giving, employee volunteerism, insight sharing, collaboration, and cross-team engagement. What can we do for you? Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces - some offices even welcome dogs. In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. And we provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued. We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation. athenahealth is committed to a policy of equal employment opportunity-that's why we recruit and hire applicants without regard to race, color, religion, sex (including pregnancy), national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. We're happy to provide a reasonable accommodation, for those with a disability, to complete any part of the application process. If you are unable to access or use this online application process and need an alternative method for applying, please contact us at taoperations@athenahealth.com for assistance. https://www.athenahealth.com/careers/equal-opportunity

Business Unit TiMi Studio Group is an award-winning game development and operations team that strives to improve global players' entertainment quality. TiMi is part of Tencent Games and is headquartered in Shenzhen, China with offices in Los Angeles, Montreal, Seattle, Shanghai and Chengdu. It strives to create high quality, high fidelity, highly creative games across a wide variety of genres and multiple platforms. About the Hiring Team TiMi Montreal is a new AAA development team making an innovative open world role-playing game in Unreal Engine 5 that is part of the award-winning TiMi Studio Group and Tencent. The studio's core team has a proven track record making hit open world games, including Assassin's Creed, Far Cry and Watch Dogs. This is an ambitious team who aspires to be a flagship first-party studio for TiMi, reaching global audiences of passionate gamers who appreciate the studio's optimistic and inclusive culture that rewards disruptive, risk-taking game development. What the Role Entails Award-winning TiMi Studio Group seeks a Data Analyst in Bellevue, WA, US. TiMi Studio Group, a subsidiary of Tencent Games, is passionate about creating compelling worlds for players to explore for years to come. Are you someone who loves participating in building new worlds, understands what captivates audiences, and cares deeply about gaming as a medium? Are you ready to channel your passion and energy into creating expansive open world games for global audiences? Then, come join us in our ambitious endeavor. Job Responsibilities: Responsible for a global publishing PC game data analysis, establishing a data metrics system (monitoring, alerting, and interpretation) and visualizing, tooling, and systematizing it. Utilize game features and functionalities to deliver data analysis and support, driving product optimization while aiding R&D and publishing decision-making processes. Monitor critical game metrics, proactively identify and alert on data anomalies, diagnose issues, and mitigate associated risks. Implement and manage data tracking integration, adapting and optimizing data collection strategies in alignment with version updates. Who We Look For Qualifications: 3+years of game industry experience, with a demonstrated interest in and deep knowledge of live service video games. Strong data sensitivity and logical thinking, with proficiency in data analysis and statistical tools such as SQL, Excel, and similar platforms. Proven experience collaborating with development teams to instrument data collection and maintain high data quality standards. Passion for the gaming industry and turning data into insights into actions. The expected base pay range for this position in the state(s) listed above is $140,000 to $185,000. Actual pay is based on market location and may vary depending on job-related knowledge, skills, actual location of work, and experience. A sign on payment, relocation package, and restricted stock units may be provided as part of the compensation package, as well as other medical, financial, and/or other benefits, dependent on the specific position offered. Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are also able eligible to participate in the Company's 401(k) plan, are eligible to accrue from 15 up to 25 days of vacation leave per year, up to 10 paid holidays per year, and accrue up to 10 days of paid sick leave per year. Your benefits eligibility requirement will be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may be pro-rated for those who start working during the calendar year. Why Join Us? Develop games that improve the entertainment quality for global audiences and make an impression on the entire industry. Join a studio featuring an ambitious, talented, and seasoned team working in an optimistic and inclusive environment. Create new worlds for players to explore, experience and enjoy as you join a team who cares about innovation and wants to delight players with new creative game design for open world experiences. Help create the next great game world for players to immerse in for decades to come. Location State(s) Washington The base pay range for this position in the state(s) above is $33.5 to $60.0 per hour. Actual pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign on payment, relocation package, and restricted stock units may be provided as part of the compensation package, as well as other medical, financial, and/or other benefits, dependent on the specific position offered. Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are also able eligible to participate in the Company's 401(k) plan, accrue from 15 up to 25 days of vacation leave per year, up to 10 paid holidays per year, 2 floating holidays and accrue up to 10 days of paid sick leave per year. Your benefits eligibility requirement will be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may be pro-rated for those who start working during the calendar year. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

Who we are EvolutionaryScale's mission is to develop artificial intelligence to understand biology for the benefit of human health and society, through open, safe, and responsible research, and in partnership with the scientific community. Over the next ten years AI will transform biological design, making molecules and entire cells programmable. We will develop the foundation models for biology that enable this. The EvolutionaryScale team is based in San Francisco and New York. We believe in flexibility around work schedules and locations, but expect that our team members will work half of the days or more of most weeks from one of our offices. What you'll do As a Data Infrastructure Engineer, you will work closely with bioinformatics and research teams to ensure our data jobs are reliable, efficient, and scalable. You'll implement best practices for handling large-scale data processing, select and integrate the right technologies, and drive continuous improvements in performance and quality of our data sets. The role Design, develop, and maintain large-scale batch processing pipelines using tools like Spark and Ray, for acquiring biology datasets. Manage data infrastructure components to ensure robust and fault-tolerant operations. Optimize data ingestion, storage, and retrieval processes for acquiring large and growing biology datasets, and for efficient pre and post training data ingestion. Create systems for easy and reproducible data evaluation and experiments. Integrate modern ML based data curation technologies with data processing pipelines. Work with researchers and other engineering teams to understand data needs, create solutions that meet modeling requirements. Preferred qualifications Apply even if you don't meet all of these! Staff level engineers with 5+ years experience highly preferred Proven experience with large-scale data processing systems using technologies such as Hadoop, Spark, or Ray. Knowledge of streaming data frameworks like Kafka Streams, Spark Streaming, or Flink. Understanding of data processing principles and best practices. Strong problem-solving skills, including the ability to research, debug, and resolve complex technical problems. Experience with major cloud providers (AWS, GCP, or Azure), including familiarity with data warehousing tools is a plus. Knowledge of biology and biology datasets is a big plus but not required. Experience with large scale distributed systems or machine learning is also not required but a plus.

About Hakkoda Hakkoda, an IBM Company, is a modern data consultancy that empowers data driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics and data science. We are renowned for bringing our clients deep expertise, being easy to work with, and being an amazing place to work! We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone’s input and efforts are valued. We hire outstanding individuals and give them the opportunity to thrive in a collaborative atmosphere that values learning, growth, and hard work. Our team is distributed across North America, Latin America, India and Europe. If you have the desire to be a part of an exciting, challenging, and rapidly-growing Snowflake consulting services company, and if you are passionate about making a difference in this world, we would love to talk to you!. We are seeking an exceptional and highly motivated Lead Data Scientist with a PhD in Data Science, Computer Science, Applied Mathematics, Statistics, or a closely related quantitative field, to spearhead the design, development, and deployment of an automotive OEM’s next-generation Intelligent Forecast Application. This pivotal role will leverage cutting-edge machine learning, deep learning, and statistical modeling techniques to build a robust, scalable, and accurate forecasting system crucial for strategic decision-decision-making across the automotive value chain, including demand planning, production scheduling, inventory optimization, predictive maintenance, and new product introduction. The successful candidate will be a recognized expert in advanced forecasting methodologies, possess a strong foundation in data engineering and MLOps principles, and demonstrate a proven ability to translate complex research into tangible, production-ready applications within a dynamic industrial environment. This role demands not only deep technical expertise but also a visionary approach to leveraging data and AI to drive significant business impact for a leading automotive OEM. This role offers an unparalleled opportunity to make a significant impact on the strategic direction and operational efficiency of a global automotive leader, contributing directly to the future of intelligent manufacturing and supply chain management. Key Responsibilities: Lead the end-to-end design and architecture of the Intelligent Forecast Application, defining its capabilities, modularity, and integration points with existing enterprise systems (e.g., ERP, SCM, CRM). Develop a strategic roadmap for forecasting capabilities, identifying opportunities for innovation and the adoption of emerging AI/ML techniques (e.g., generative AI for scenario planning, reinforcement learning for dynamic optimization). Translate complex business requirements and automotive industry challenges into well-defined data science problems and technical specifications. Design, develop, and validate highly accurate and robust forecasting models using a variety of advanced techniques, including: Time Series Analysis: ARIMA, SARIMA, Prophet, Exponential Smoothing, State-space models. Machine Learning: Gradient Boosting (XGBoost, LightGBM), Random Forests, Support Vector Machines. Deep Learning: LSTMs, GRUs, Transformers, and other neural network architectures for complex sequential data. Probabilistic Forecasting: Quantile regression, Bayesian methods to capture uncertainty. Managing forecasts across multiple product hierarchies, regions, and dealerships. Incorporate diverse data sources, including historical sales, market trends, economic indicators, competitor data, internal operational data (e.g., production schedules, supply chain disruptions), external events, and unstructured data. Conduct extensive exploratory data analysis (EDA) to identify patterns, anomalies, and key features influencing automotive forecasts. | Stay abreast of the latest academic research and industry advancements in forecasting, machine learning, and AI, actively evaluating and advocating for their practical application within the OEM. Architect and implement scalable data pipelines for ingestion, cleaning, transformation, and feature engineering of large, complex automotive datasets. Develop robust and efficient code for model training, inference, and deployment within a production environment. Implement MLOps best practices for model versioning, monitoring, retraining, and performance management to ensure the continuous accuracy and reliability of the forecasting application. Collaborate closely with Data Engineering, Software Development, and IT Operations teams to ensure seamless integration, deployment, and maintenance of the application. Define and implement rigorous evaluation metrics for forecasting accuracy (e.g., MAE, RMSE, MAPE, sMAPE, wMAPE, Pinball Loss) and business impact. Perform A/B testing and comparative analyses of different models and approaches to continuously improve forecasting performance. Identify and mitigate sources of bias and uncertainty in forecasting models. Work cross-functionally with various business units (e.g., Sales, Marketing, Supply Chain, Manufacturing, Finance, Product Development) to understand their forecasting needs and integrate solutions. Communicate complex technical concepts and model insights clearly and concisely to both technical and non-technical stakeholders. Provide technical leadership and mentorship to junior data scientists and engineers, fostering a culture of innovation and continuous learning. Potentially contribute to intellectual property (patents) and present findings at internal and external conferences. Required Qualifications: Requires PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, or a closely related quantitative field. 5+ years of hands-on experience in a Data Scientist or Machine Learning Engineer role, with a significant focus on developing and deploying advanced forecasting solutions in a production environment. Demonstrated experience designing and developing intelligent applications, not just isolated models. Experience in the automotive industry or a similar complex manufacturing/supply chain environment is highly desirable. Expert proficiency in Python (Numpy, Pandas, Scikit-learn, Statsmodels) and/or R. Strong proficiency in SQL. Machine Learning/Deep Learning Frameworks. Extensive experience with TensorFlow, PyTorch, Keras, or similar deep learning libraries. Forecasting Specific Libraries: Proficiency with forecasting libraries like Prophet, Statsmodels, or specialized time series packages. Data Warehousing & Big Data Technologies. Experience with distributed computing frameworks (e.g., Apache Spark, Hadoop) and data storage solutions (e.g., Snowflake, Databricks, S3, ADLS). Hands-on experience with at least one major cloud provider (Azure, AWS, GCP) for data science and ML deployments. Understanding and practical experience with MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes, CI/CD pipelines). Proficiency with tools like Tableau, Power BI, or similar for creating compelling data stories and dashboards. Deep understanding of statistical inference, experimental design, causal inference, and the mathematical foundations of machine learning algorithms. Proven ability to analyze complex, ambiguous problems, break them down into manageable components, and devise innovative solutions. Preferred Qualifications: Publications in top-tier conferences or journals related to forecasting, time series analysis, or applied machine learning. Experience with real-time forecasting systems or streaming data analytics. Familiarity with specific automotive data types (e.g., telematics, vehicle sensor data, dealership data, market sentiment). Experience with distributed version control systems (e.g., Git). Knowledge of agile development methodologies. Soft Skills: Ability to articulate complex technical concepts and insights to a diverse audience, including senior management and non-technical stakeholders. Strong interpersonal skills and a proven ability to work effectively within cross-functional teams. A passion for continuous learning, staying ahead of industry trends, and proactively identifying opportunities for improvement. Ability to see the big picture and align technical solutions with overall business objectives. Desire and ability to guide and develop less experienced team members. Thrive in a fast-paced, evolving environment with complex challenges. Benefits: - Medical, Dental, Vision. - Life Insurance. - Paid parental leave. - Flexible PTO Options. - Company Bonus Program. - Work from home benefits. - Technical training and certifications. - Robust learning and development opportunities - Trip to Costa Rica. Hakkoda is committed to fostering diversity, equity, and inclusion within our teams. A diverse workforce enhances our ability to serve clients and enriches our culture. We encourage candidates of all races, genders, sexual orientations, abilities, and experiences to apply, creating a workplace where everyone can succeed and thrive. Ready to take your career to the next level? 🚀 💻 Apply today👇 and join a team that’s shaping the future!! Hakkoda is an IBM subsidiary which has been acquired by IBM and will be integrated in the IBM organization. Hakkoda will be the hiring entity. By Proceeding with this application, you understand that Hakkoda will share your personal information with other IBM subsidiaries involved in your recruitment process, wherever these are located. More information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here.