Auto-apply to these data science jobs

About Faire Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and LTV predictions. Our ultimate goal is to empower local retail businesses with the tools they need to succeed. At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive.  As the Listing Quality lead within the Brand Data Science team, you will be responsible for improving the quality of Faire’s product listings using ML and AI techniques. This includes problems such as automatically detecting and fixing image and text issues, extracting structured product attributes, and identifying duplicates and product variants. You will leverage deep learning, multi-modal LLMs, and human-in-the-loop training to create high performance solutions. You will mentor and guide the work of more junior Data Scientists who also work on Listing Quality. You will independently drive data science vision, strategy, and execution and be the data science lead within the cross-functional Listing Quality pod, thinking end-to-end about the problem. Our team already includes experienced Data Scientists from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning engineers, and you will help take us there! What you’ll do Drive data science vision, strategy, and execution on Listing Quality, using ML and AI solutions to improve the quality of Faire’s product listings. Use deep learning, LLM fine tuning, and human-in-the-loop training to automatically detect and address issues with high accuracy. Mentor and guide the work of more junior Data Scientists on Listing Quality. Act as a lead on the cross-functional Listing Quality pod, thinking end-to-end about brand and retailer experiences, ops processes, policy enforcement, etc. Qualifications 5+ years of industry experience using machine learning to solve real-world problems Experience with relevant business problems Experience with relevant technical methods (e.g. LLM fine tuning, deep learning, or human-in-the-loop machine learning) Strong programming skills An excitement and willingness to learn new tools and techniques The ability to mentor Senior Data Scientists, develop team strategy, and lead model development without supervision Strong communication skills and the ability to work in a highly cross-functional team  Great to Haves: Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields Previous experience in listing quality for e-commerce Previous experience in supervised fine tuning of multi-modal LLMs Salary Range California: the pay range for this role is $209,500 to $288,000 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. This role will be in-office on a hybrid schedule - Faire employees will be expected to go into the office 2 days per week on Tuesdays and Thursdays, effective the week of January 13, 2025. Additionally, in-office roles will have the flexibility to work remotely up to 4 weeks per year. Applications for this position will be accepted for a minimum of 30 days from the posting date. Why you’ll love working at Faire We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process. We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners. We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy. We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality. Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog . Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)

About Faire Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role: Faire is using machine learning to change wholesale and help local retailers compete with Amazon and big box stores. Our experienced data scientists and machine learning engineers are developing solutions related to discovery, ranking, search, recommendations, ads, logistics, underwriting, and more - all with the goal of helping local retail thrive.  As a member of the Discovery Data team you’ll be responsible for:  Ads / Sponsored Products : Joining a newly established team building Ads Delivery and Advertiser Optimization from the ground up and tackling challenges in ads targeting, retrieval, prediction/ranking, bidding, pacing, and auction design.  Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, LinkedIn and Pinterest. We're a lean, talented team with high opportunity for direct product impact and ownership.  You’re excited about this role because…  You’ll be able to work on cutting-edge search / personalization / ads problems combining a wide variety of data about our retailers, brands and products You want to use machine learning to help local retailers and independent brands succeed  You want to be a foundational team member of a fast growing company You like to solve challenging problems related to a two-sided marketplace  Qualifications  Experience with leading cross-team and cross-functional technical strategy and roadmap, solving long-term open-ended problems, and consistently driving significant business impact for the whole org. 5+ years of industry experience using machine learning to solve real-world problems Experience and strong understanding of search / personalization / ads for product development  Strong programming skills  An excitement and willingness to learn new tools and techniques  Experience with deep learning  The ability to contribute to team strategy and to lead model development without supervision  Strong communication skills and the ability to work with others in a closely collaborative team environment  Great to Haves: Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields  Ability to quickly implement state of the art algorithms from an academic paper Salary Range: California: the pay range for this role is $209,500 to $288,000 per year.  This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.  This role will be in-office on a hybrid schedule - Faire employees will be expected to go into the office 2 days per week on Tuesdays and Thursdays, effective the week of January 13, 2025. Additionally, in-office roles will have the flexibility to work remotely up to 4 weeks per year. Applications for this position will be accepted for a minimum of 30 days from the posting date. Why you’ll love working at Faire We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process. We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners. We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy. We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality. Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog . Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)

Who We Are Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 50 countries, Addepar’s platform aggregates portfolio, market and client data for over $7 trillion in assets. Addepar’s open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in Silicon Valley, New York City, Salt Lake City, Chicago, London, Edinburgh, Pune, and Dubai. The Role We are currently seeking a Portfolio Data Operations Analyst to join our Portfolio Data Operations team! Part of the broader Addepar Engineering organization, the Portfolio Data Operations team is responsible for ensuring Addepar's clients have timely and high quality data. This will include overseeing the processing of transactions and positions so that it meets client timelines, ensuring data quality through verification checks, and helping clients with their data support questions. The Portfolio Data Operations team sits at the nexus of Addepar's activity and requires daily communications with data providers, clients, and other personnel across the company. Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York. The current range for this role is $86,000 - $107,000 (Base Salary) + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits. What You’ll Do Perform daily internal verification checks to ensure portfolio account data is accurate and available within SLAs. Investigate and troubleshoot data pipeline issues and feed processing exceptions, and triaging with Engineering Support when needed. Effectively complete and maintain operational workflows and identify and implement opportunities for optimization. Collaborate with Client Support, Solution Architects, and other members of Services and Sales to review and resolve client data inquiries and requests.  Partner with Product and Engineering to design, test, and implement new processes and tooling features that improve data quality as well as increase operational efficiency. Participate in broad company initiatives to stand up new product functionality or services. Who You Are 2+ years of work experience in the financial investment/advisory industry with deep knowledge of capital markets, trade processing and lifecycle, and middle/back-office operations systems. Strong attention to details and a passion for problem solving. Excellent communication and interpersonal skills for interfacing with internal and external stakeholders. Proven ability to multitask and prioritize effectively in a fast paced environment. Very team-oriented, dedicated and forward thinking. Technical skills preferred in any or all of the following: Microsoft Excel, VBA, SQL, Python, Salesforce, Bloomberg, Thomson Reuters, or other common financial services systems and applications. Our Values  Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value.  Champion Our Clients - Exceed client expectations. Our clients’ success is our success.  Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.  Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.  In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to TAinfo@addepar.com .

Are you ready to make an impact? West Monroe is seeking a Senior Architect to join our thriving Technology and Experience Practice within the Platforms: Data Engineering and Analytics discipline. This is an excellent opportunity to work within our TechEX team with clients developing Big Data strategy and roadmaps with emphasis on DataBricks, while gaining exposure to a variety of industries including Healthcare & Lifesciences, Financial Services &Banking, Consumer & Industrial Products, and Energy & Utilities. Responsibilities: Provide guidance and platform selection advice for DataBricks. Design data flow and processing pipelines for analysis using modern toolsets such as Spark on Scala, Storm, Flume, Sqoop Design data structures for ingestion and reporting, specific to use case and technology Provide data management expertise to our clients in evaluating requirements and developing data architecture and performing platform selection and design. Data management includes appropriate structuring, stewardship of data, semantics/syntax of data attributes, coding structures, and mapping schemes Guide and coach consultants, share best practices, perform code reviews Coordinate activities with data source application owners to ensure integration with analytics platform and source systems Ensure that data integrity issues are addressed Liaise and attend meetings necessary to perform duties and aid business and technical development Qualifications : 10+ years of professional experience and 5+ with DataBricks 8+ years of prior consulting experience Excellent organizational, verbal and written communication skills Very strong technical knowledge in DataBricks Experience with LLM – Large Language Model Knowledge of standard methodologies, concepts, best practices, and procedures within a Big Data environment Sense of urgency, initiative and a positive team player philosophy to be reflected in daily work ethics A commitment to inclusion and diversity, and openness to new ideas and perspectives Travel requirements up to 50% Based on pay transparency guidelines, the salary range for this role can  vary based on your proximity to one of our West Monroe offices (see  table below). Information on our competitive total rewards package,  including our bonus structure and benefits is  here . Individual salaries are determined by evaluating a variety of factors including geography,  experience, skills, education, and internal equity. Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are able to enroll in our company’s 401k plan,  purchase shares from our employee stock ownership program and be eligible to  receive annual bonuses. Employees will also receive unlimited flexible time off  and ten paid holidays throughout the calendar year. Ten weeks of paid parental  leave will also be available for use after successful completion of one year of  employment. Seattle or Washington, D.C. $199,100 — $223,400 USD Los Angeles $205,400 — $234,100 USD New York City or San Francisco $215,200 — $244,700 USD A location not listed above $183,800 — $212,800 USD West Monroe is a digital services firm that partners with companies in transformative industries to deliver quantifiable financial value. We believe that digital is a mindset and it’s something companies become, not something they do. We bring together diverse, multidisciplinary teams that use their expertise to develop and execute new ideas and ways of working.    At West Monroe, we invest in our people and care in a big way. We are growing the next generation of leaders who lead with inclusion, enabling us to address our clients’ most complex challenges. If you’re looking for a place where you’ll feel supported, our team will help you grow. We believe that growth breeds opportunity for all. And know that when we come together, we can do what's never been done.   Our fast-paced culture and collaborative teams bring the energy and expertise needed to make an impact and deliver beyond expectations. If you are ready to set big goals with us , j oin us on our journey of building what matters for our clients, our people, and our communities.   West Monroe   is an Equal Employment Opportunity Employer   We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law. To learn more about diversity, equity and inclusion at West Monroe, visit www.westmonroe.com/inclusion .   If you are based in California, we encourage you to read West Monroe’s Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act (CCPA) and linked here .  

Our Mission Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives. The AI Institute is building an environment that fosters the kind of blue-sky thinking found in academic labs and quickly drives it to practice through development discipline and resources more common to top-tier industry teams. As a Robot Data Collection Technician, you will be working with a team of Engineers to conduct accurate and efficient data collection across multiple research programs. You will play a crucial role in gathering and organizing data generated by robots to improve their performance and advancing their capabilities and usefulness. This position requires a combination of technical skills, attention to detail, and a proactive approach to problem-solving. What you will do Utilize specialized software and tools to collect high quality data generated by robots during operation. Conduct routine maintenance and calibration of sensors, cameras, and other data collection equipment attached to robots. Monitor data streams in real-time to identify anomalies, errors, or inconsistencies. Troubleshoot technical issues related to data collection systems and coordinate repairs as necessary. Maintain accurate records of data collection activities, including timestamps, parameters, and metadata. Present findings and insights to cross-functional teams in clear and accessible formats What you will need High school diploma or equivalent; technical certification or associate degree preferred. Experience working with data collection technologies. Experience configuring and troubleshooting software and hardware components Excellent communication and collaboration skills. Ability to work independently and as part of a team in a fast-paced environment. Bonus Familiarity with Linux operating systems, including command-line interfaces and shell scripting. Familiarity with data analysis tools and techniques, such as statistical analysis, machine learning, and data visualization. Experience with programming languages such as Python or C++. These attributes are great to have but not required for our candidates. Candidates who lack these should not be discouraged from applying. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This role is not open to visa sponsorship or transfer of visa sponsorship including those on OPT and STEM-EXT OPT, nor is it available to work corp-to-corp. This role requires a hybrid schedule and will be based in our Fort Mill, SC Headquarters (Tuesday through Thursday) and work fully remotely on Mondays and Fridays each week. The Financial Services division is looking to add a Senior Data Scientist to our data team. As a Sr Data Scientist you will be responsible for driving meaningful change across our business. By leveraging your expertise in ideating how trends in our data can inform business strategy, you will partner directly with website experience, paid media, business operations, and SEO teams to maximize the value they can drive for our business. Our Sr Data Scientist proactively identify opportunities for applying business insights, advanced analytics, and data science techniques by becoming intimately familiar with both data and business goals. You will act as a data savvy consultant, creating insights, solving problems, building new solutions and making business and marketing recommendations.  This position is based in our Charlotte, NC on a hybrid schedule being in office Tuesday-Thursday.   What You'll Do Provide strategic insights derived from digital marketing, web event and conversion data that drive marketing investment and customer experience decisions Build compelling visualizations and interactive dashboards that tell a story with data Utilize statistics to inform testing strategies and probabilities to make informed business decisions Conduct hands-on advanced analytics using multiple data sources originating from different applications and systems Build relationships with business teams and data science teams to identify opportunities for deep analytics on customer behavior and site performance Become very familiar with our unique AdTech and MarTech stacks and the role of data with each of them Work with data science, data engineers, architects, and business teams to ensure analysis and visualizations scale efficiently Mentor more junior data analyst teammates Find new opportunities and usages of data within our product ecosystem What we’re looking for 4+ years of experience in complex business analysis, digital analysis, or marketing analysis role Bachelor's Degree or even better, Master's Degree in Math, Finance, Economics, Computer Science or other relevant degrees Proficiency in visualization tools such as Looker, Tableau, or Power BI Experience in building SQL queries across complex relational database Demonstrated ability to synthesize data into actionable insights and communicate recommendations to leadership Strong interpersonal and communication skills, with a track record of working well with business stakeholders Experience with A/B testing frameworks, sampling methods and statistical analysis is a plus Knowledge of digital attribution and digital analytics is preferred Statistical programming knowledge (e.g., R or Python) is preferred  Strong technical and data foundation that enables you to communicate effectively with data scientists, understand relevant algorithms, and explain technical concepts to non-technical stakeholders. Results-oriented. You can guide a team to focus on the activities that will drive the largest lift to targeted metrics An entrepreneurial mindset with strong business acumen and capable of coming up with data-driven ideas to create value for consumers and business partners Compensation Cash Compensation Range (CLT): $155,000 - 203,000* *Note actual salary is based on geographic location, qualifications, and experience.  Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. Health Insurance Coverage (medical, dental, and vision) Life Insurance Short and Long-Term Disability Insurance Flexible Spending Accounts Paid Time Off Holiday Pay 401(k) with match Employee Assistance Program Paid Parental Bonding Benefit Program Who We Are Founded in 2000, Red Ventures (RV) is home to a diverse portfolio of industry-leading brands and businesses, strategic partnerships and proprietary technology – including Bankrate, Lonely Planet, The Points Guy, BestColleges and more. Together, RV helps millions of people worldwide make life’s most important decisions, accelerates digital adaptation, and innovates the online consumer experience by improving every step of the consumer journey – from first discovery of information, throughout the decision-making process, to transactions. Headquartered south of Charlotte, NC, Red Ventures employs thousands of people across the US and Puerto Rico, with international offices in the UK and Brazil. For more information, visit https://redventures.com and follow @RedVentures on social platforms. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.  We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com .  If you are based in California, we encourage you to read this important information for California residents linked here . Click here for more details regarding the employee privacy policy:  https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to  employeerights@redventures.com . Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

At StarTree we're a group of passionate individuals that desire to improve the lives of many by developing tools and technologies that support availability and speed in the world of real-time analytics.  Our aim is to make it simple for every company to delight their users - external and internal - and create new revenue streams from their data, by building the world’s most comprehensive and accessible cloud analytics system. About the Team:   The Data Infrastructure team is at the core of StarTree’s SaaS offering - enabling our customers to leverage real-time data to accelerate key decision-making by building world-class data ingestion, processing, and serving systems. The team is responsible for scaling and evolving StarTree’s Pinot Engine and the corresponding data platforms.  About the Role: In this role, you’ll be contributing to the open-source Apache Pinot software in addition to the following areas: Building real-time database/data system internals Query engine optimization, compilation, and execution Data ingestion, storage, modeling, and indexing services Building scalable, low latency, distributed systems Creating automation and abstraction self-service tooling What we’re looking for: 5+ years experience in a related field  Proficiency in Java, C++, or Scala programming languages Experience with cloud technologies (AWS, Azure, GCP, Kubernetes, etc) Familiarity with stream/batch processing, database, and/or data system internals  Hands on experience working on large-scale distributed systems Knowledge of multi-threading and concurrency concepts Open-source contributions is a plus The base salary range for this US full-time position is $150,000 - $220,000, subject to standard withholding and applicable taxes. Additionally, new hires receive competitive and compelling equity grants, and access to a comprehensive benefits offering.   The base salary range reflects the minimum and maximum target for candidates. The Salary and Equity compensation offered may vary depending on factors including: location, skills, experience, and the assessment process.   About StarTree:    StarTree is a cloud-based software company that enables business customers to derive advanced insights from real-time and historical data. StarTree was founded by the core software engineering team and inventors of Apache Pinot , which currently powers hundreds of user-facing applications at companies across industries, including LinkedIn, Uber, Target, 7Eleven, Etsy, Walmart, WePay, Factual, Weibo, and more. StarTree Cloud has enabled even more companies to deploy and operate real-time analytics at scale, including Stripe, Sovrn, Roadie, Just Eat Takeaway.com, Dialpad, Guitar Center, Blinkit, and more. StarTree recently announced our Series B Funding with investment from GGV Capital, Sapphire Ventures, Bain Capital Ventures, and CRV. We have been named one of The Information's 50 Most Promising Startups and one of CRN's 10 Coolest Cloud Computing Startup Companies of 2022!

Come work at a place where we take pride in creating a workplace environment that values hard work, commitment, and growth . Job Description: Education Bachelor's degree (BA, BS with strong coursework in a quantitative field, such as Engineering , in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, or a related field , or equivalent years of work experience Master’s degree preferred Experience 4 + Years in data analytics, business intelligence, or data engineering . Data Science Experience preferred 2 years in a senior analyst capacity , preferably within an enterprise or large-scale organization Experience with retail analytics + omnichannel will be a plus Skills Ability to work well under pressure while consistently meeting time sensitive deadlines Ability to work well independently, as well as effectively contribute to a team environment Ability to prioritize workload, meet multiple deadlines simultaneously in a fast paced, frequently changing environment Strong interpersonal , written, and verbal communication skills, detail-oriented, with the ability to interact with all levels of end users and technical resources Proficiency in programming languages such as Python, R, or Scala E xpertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch , Scikit-Learn ) . Preference toward experience in a cloud enterprise environment , such as Google C loud Platform ( GCP ) ( B igQuery is a plus) / Azure / Amazon Web Services ( AWS ) Advanced knowledge of SQL and experience with relational and non-relational databases with a focus on transforming data to prepare for analysis and machine learning . 3+ years of experience in enterprise grade data visualization tools (e.g., Tableau, Power BI, Looker, MicroStrategy) S trong Microsoft O ffice program experience including Excel, Word, PowerPoint . Responsibilities: Data Analysis & Modeling: Design and develop complex predictive and prescriptive models using advanced statistical and machine learning techniques. Utilizing data-science techniques, explore the data to uncover patterns and correlations, predict customer behavior, and preemptively identify potential problems . Contribute to company A/B testing framework and recommend results Data Collection & Management: Lead the acquisition, integration, and cleaning of diverse and complex datasets from multiple sources to ensure data quality and reliability Data Product Ownership: Drive end-to-end data science products from ideation to production, including problem definition, data exploration, model development, and result validation, documentation, and monitoring. C ollaboration: Work closely with stakeholders across business units, including product, finance, marketing, operations, and IT, to understand business needs, define requirements, and align data science solutions with business objectives . Data Visualization & Communication: Create compelling visualizations and presentations that effectively communicate complex analysis, insights, and recommendations to both technical and non-technical audiences. Model Deployment & Scaling: Implement and optimize machine learning models in production environments, ensuring they are scalable, efficient, and reliable Mentorship & Leadership: Lead by example to build a culture of accountability and rigor to substantiate proven business impact with data, providing mentorship and guidance to other analysts on the team Innovation: Keep current with technical and industry developments, tools, and technologies in the field of data science, and identify opportunities for continuous improvement and innovation within the organization. Physical Requirements & Attendance Acceptable level of hearing and vision to perform job duties Adhere to company work hours, policies, procedures, and rules governing professional staff behavior Regular attendance require d Full time Equal Employment Opportunity Academy is an Equal Opportunity Employer and does not discriminate with regard to employment opportunities or practices on the basis of race, religion, national origin, sex, age, disability, gender identity, sexual orientation, or any other category protected by law. ​

NASA Lunar Gateway Data Services Web Software Developer Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: NACI Employee Type: Regular Percentage of Travel Required: None Type of Travel: None * * * The Opportunity: CACI is looking for a software developer to provide NASA Johnson Space Center (JSC) with software skills in the design, development, and testing of NASA’s Lunar Gateway Data Production Environment, including the Gateway Data Model and Gateway Data Services. Lunar Gateway, a vital component of NASA’s Artemis Program, will serve as a multi-purpose outpost orbiting the Moon that provides essential support for long-term human return to the lunar surface, and serves as a staging point and technology incubator for deep space exploration. This software engineering position involves the development of web and database applications for generating flight software data products to configure the data-driven Gateway flight software. The position also includes working with a team of developers, interacting with users, developing, and prioritizing new features based on customer needs, customer service, managing schedule, and supporting presentations and demonstrations. This position requires a self-motivated, capable person with strong verbal and written communication skills. In addition to outstanding technical expertise, the individual must be very people savvy, have strong customer relationship skills, possess a positive team-player attitude, be flexible and willing to take on new assignments and responsibilities as they arise, and be an articulate speaker able to communicate complex technical ideas in a convincing manner. The individual must share our passion for our Nation's Space Program and share in the excitement of developing the next human-rated space vehicles. This work takes place at NASA/JSC in Houston, TX, a highly stimulating and dynamic environment that is critical in human space flight and the space exploration initiative. Responsibilities: Develop Gateway Data Model and Gateway Data Services web and database applications and APIs. Develop new software features based on customer needs. Perform testing to ensure requirements are being met. Perform troubleshooting of Gateway Data Services discrepancies. Adhere to JSC standard software process practices. Qualifications: Required: Must be a U.S. Citizen or Permanent Resident to facilitate access to USG facilities. B.S. in Computer, Software, Aerospace, Electrical, or Systems Engineering, Computer Science, or related discipline required. Full stack developer with at least one to three years of related experience More experience is highly valued. Experience developing web applications and web services, including database back-end, middleware, and front-end. Experience with C#, XML, SQL. Must be flexible, open to new challenges in a dynamic environment, and possess strong technical expertise combined with strong verbal and written communication skills. Ability to manage multiple priorities with little supervision. Must be a highly responsible, team-oriented individual with strong work ethic. Must have highly developed coordination and organization skills. Desired: M.S. in Computer, Software, Aerospace, Electrical, or Systems Engineering, Computer Science, or related discipline. Experience with Entity Framework Core. Experience with .NET Core. Experience with Amazon Web Services (AWS), Azure, or Google Cloud. Experience with Security Assertion Markup Language (SAML). Experience with OAuth. Experience with Continuous Integration (CI). Experience with software tool requirements. Experience using GitLab and the Git version control system. Experience using Jira. Experience in the full life cycle of human-rated flight projects. - ________________________________________________________________________________________ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ________________________________________________________________________________________ Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here . The proposed salary range for this position is: $82,100 - 172,400 USD CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Lead Data Scientist – NIKE USA , Inc. - Beaverton , OR. Develop predictive and descriptive models to identify new opportunities to bring value through data-driven insights and innovation; collaborate with multi-disciplinary teams, deliver work on time against a roadmap, and share their work with non-technical audiences; apply contemporary data science and analytics methods; extract consumer preferences and tendencies from event streams; develop algorithms to target and reward deserving members; predict which consumers and how many are likely to want to purchase upcoming footwear and apparel ; create models and simulations to understand marketplace dynamics; design and analyze experiments to illuminate causality; act as a strategic partner to business team members and lead research and analysis to inform business strategy; build stakeholder-facing tools to support decision-making ; create work to communicate significant insights to a non-technical audience; collaborate with other data scientists, analysts, and range of multi-functional business partners. Telecommuting is available from anywhere in the U.S., except from SD, VT, and WV. Employer will accept Master’s degree in Business Analytics and Project Management, Data Science, Mathematics or Statistics and two (2) year of experience in the job offered or an analyst-related occupation. Experience must include the following: SQL Python Tableau Databricks Machine Learning Data Engineering Statistical modeling and analysis A/B Testing Big Dat a Data analysis and manipulations Apply at www.nike.com/Careers(Job# R-57270) #LI-DNI We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form .

Senior Investment Data Analyst Investment Data Strategy & Governance Team Full-Time Boston, MA, New York, NY or Springfield, MA The Opportunity We are seeking a highly motivated and experienced Senior Investment Data Product Analyst who will be responsible for setting the strategy for end-to-end business lineage of our critical data (sub-domain and elements) and will be responsible for business data modelling of one or more data domains while empowering data stewards to drive catalog completeness and review. The senior investment data analyst will report to the Head of Investment Data Strategy and Governance. The senior investment data analyst will also be responsible for tracking and reporting key metrics for data governance to data consumers and senior management. The ideal candidate will have a good understanding of investment data requirements and understand the language of investment data. The candidate is an expert in working with data tools such as SQL and Python and be able to understand logic embedded in ETL tools such as Informatica and stored procedures. Experience working in businesses with a varied mix of investment types (public, private and structured) is . The Team You will be a key member of the Investment Data Strategy and Governance team within Investment Management. We ensure that our strategy for sourcing, aggregating, distributing, and governing Investment data adequately meets the broad requirements of the business community and we are accountable for defining, communicating, and driving forward the data strategy for the investment ecosystem. We are currently in the midst of setting up a comprehensive data governance framework for Investment Management identifying data owners and stewards from across Risk Analytics, Investment Operations and Investment Accounting. We are also partnering with Enterprise Technology to design and deliver a new strategic data platform for the IM business with industry standard concepts such as Bronze/ Silver and Gold Zone data layers, Data Mesh setup and Virtualization layers. We partner with teams across Investment Management, Enterprise Risk Management, Corporate Finance, Enterprise Technology, Corporate PMO, MassMutual affiliates and external third parties. The Impact The Senior Investment Data Analyst will have an impact in the following areas: Data Governance Ensure that we have complete end to end lineage for critical data elements and sub domains. You will set the strategy for creation and maintenance of end-to-end data lineage across Investment Operations and Investment Accounting process and own the lineage of several sub data domains Empower data owners and stewards (people identified throughout our portfolio management teams, investment operations and accounting teams) with tools to ensure that our list of critical data meets the needs of the business and lineage is created and validated for newly defined critical data elements. You will identify the need for additional tools or gaps in existing tools and collaborate with partners in ETX (Corporate Technology) to fulfill these needs. Track and drive the quality of our data catalog with complete data descriptions, usage rules and accuracy rules reporting metrics of completeness and accuracy to the data stewards and ensuring that these gaps are filled. Data governance is a key function in a business that evolves constantly and holds information on complex investments. Data Strategy Own the business data model for one or more investment domains and sub domains based on the requirements of the businesses that we support. You will work with business stakeholders from Investment Operations and Accounting to build out the logical business model. Partner with ETX to translate the business logical model into a technical logical and physical model You will contribute to the business data requirements and principles, and partner with Corporate Technology to deliver a next generation data platform for the business. You will apply data management concepts such as raw data zones and data mastering layers for these requirements. You will liaise with Data Owners identified within the business to stay up to date with their requirements and ensure that these are reflected in the business data model. You will play a key role in the future and evolving data needs of a dynamic business bringing best practice experience and knowledge to bear. Communication Manage interactions between operational and technology teams, communicating business needs into technical requirements, and negotiating priorities with tech/data based on business needs. Metrics Establish KPIs and track data governance adoption using tools and reports. Track issues raised and their time to resolution. Min Qualifications Bachelor’s degree in F inance , Economics, Data Science or related degree 8+ years of experience as an Investment Data Product Analyst or similar role 5+ years of experience in work ing with Investment Data and understanding needs across a wide variety of instruments including public and private assets, bank loans etc. 5+ years of experience in financial services, insurance, or related industry. 5+ years of proficiency in SQL and data manipulation tools (e.g., Python, R). Ideal Qualifications Experience with data governance tools such as Collibra, Alation and Data360 Data Modelling, Data Governance or Data Science training and certification Experience with Eagle STAR, Eagle Pace and Eagle DataMart will be a plus. Excellent communication and interpersonal skills, highly collaborative Ability to manage multiple projects and prioritize tasks effectively. Experience in project planning Strong analytical and problem-solving skills Strong understanding of financial instruments, investment management workflows, and data governance principles. Experience with data quality tools, data lineage tracking, and metadata management . What to Expect as Part of MassMutual and the Team Regular meetings with the Investments Data Strategy and Governance team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits #LI-FT1 Salary Range: $118,900 - $156,000 Why Join Us. We’ve been around since 1851. During our history, we’ve learned a few things about making sure our customers are our top priority. In order to meet and exceed their expectations, we must have the best people providing the best thinking, products and services. To accomplish this, we celebrate an inclusive, vibrant and diverse culture that encourages growth, openness and opportunities for everyone. A career with MassMutual means you will be part of a strong, stable and ethical business with industry leading pay and benefits. And your voice will always be heard. We help people secure their future and protect the ones they love. As a company owned by our policyowners, we are defined by mutuality and our vision to put customers first. It’s more than our company structure – it’s our way of life. We are a company of people protecting people. Our company exists because people are willing to share risk and resources, and rely on each other when it counts. At MassMutual, we Live Mutual. MassMutual is an Equal Employment Opportunity employer Minority/Female/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply. Note: Veterans are welcome to apply, regardless of their discharge status. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. At MassMutual, we focus on ensuring fair, equitable pay by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. For more information about our extensive benefits offerings please check out our Total Rewards at a Glance.

Job Description Summary GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world. The Internal Audit (IA) function is in year three of its transformation following GE HealthCare's separation in January 2023 as a standalone public company. As part of the transformation, IA is creating a modern, data-driven program with a LEAN mindset. The IA function is a global team with presence in United States, United Kingdom, Singapore, and India. The function is independent and reports to the GE HealthCare Audit Committee. Reporting to the Data Analytics and Automation Audit Manager, the Audit Specialist - Data Analytics and Automation will interact with key process owners and colleagues across GE HealthCare. The Audit Specialist - Data Analytics and Automation will also be responsible for leveraging data analysis techniques to support audit activities, enhance audit efficiency, and provide data-driven insights. The Audit Specialist - Data Analytics and Automation will gain a robust understanding of the operations of segments, regions, and functions within GE HealthCare. This role requires clear communication with team members worldwide, as well as the ability to independently manage tasks within a flexible schedule. Job Description Job Description A key priority for this role will be to execute data analytics and automation projects in a fast paced and growth-oriented environment in accordance with the IA methodology and the Institute of Internal Auditors (IIA) Standards. Working autonomously as well as in collaboration with other members, the Audit Specialist - Data Analytics and Automation will support in various aspects of IA processes such as risk assessments, audit planning and execution, issue management and special department initiatives for continuous improvement. Roles and Responsibilities Leverages and applies advanced data concepts, tools, and programming techniques (e.g., Teradata, and/or comparable platforms) to perform, extract, transform, load (ETL) and analyze activities, and proactively shares knowledge with team members. Contributes to the overall automation of audit bot design, build, testing/defect resolution, and change control management procedures. Partners with enterprise data lake and automation teams to ensure the accuracy and completeness of bot designs, and quality of bot output. Contributing to the planning and completion of high-quality engagement deliverables on time and on budget. Supports the extraction, manipulation, visualization, and analysis of data that support the internal audit lifecycle. Operationalizes analytical models (e.g., regression, simulation, statistical, etc.) for direct application to audit scope areas for the identification of outliers, trends and/or projections, where appropriate. With oversight from Managers and other senior team members, identify trends, anomalies, and areas for improvement in business operations . Assisting in the design and layout of analysis and in writing accurate reports to depict findings, contributing to the development of conclusions and recommendations. Establishing credibility and developing relationships with key client stakeholders including front-line staff and mid-level managers. Facilitates data-driven discussions with IA team members and provides recommendations for streamlining audit finding analysis during on-going audits and in the planning of future audits. Stays current on data analytics trends (e.g., new tools, statistical methods, visualization techniques), relevant business risks across GE HealthCare Business Units, as well as emerging industry technologies that impact how and where data and automation can be used on audits and in support of key company controls (e.g., Artificial Intelligence (AI), Blockchain, RPA). Embrace an equitable and inclusive environment where people can bring their full selves to work and unlock their greatest potential and contributions to the team. Required Competencies Data Literacy Data Science and AI Knowledge: Understands the principles of data science and can execute data science and AI projects. Data Source Identification: Is aware of data sources to use for data analytics work and understands how the data sources align to key risks. Communication of Data and Analytics: Understands what constitutes good data communication skills and can clearly explain data analysis results. Communication & Relationship Management Relationship Management/ Business Partnerships: Cultivates and maintains extensive informal networks and can establish and maintain good working relationships with all staff at all levels of the organization. Required Qualifications A Bachelor’s degree or Master’s degree in Data Analytics, Mathematics, Computer Science or other technical field. 2 years of data analytics development and deployment. Experience in an Internal Audit or Cyber Security data analytics capacity, preferred. Proficiency in Python or R for data analysis and automation. Desired Characteristics Microsoft Certified Azure Data Scientist Associate, aCAP, CCA Data Analyst, CISA, CRISC, or similar certifications/designations. Proficiency in SQL for querying and managing data. Advanced knowledge of generative AI principles and their application in data analysis. Strong understanding of AI principles, including machine learning, deep learning, and foundational models such as neural networks and natural language processing (NLP). Capable of leveraging AI technologies to enhance data analytics and automation processes within internal audit functions. Advanced understanding of GitHub for version control and collaborative code management. Strong problem-solving skills that demonstrate logical and analytical thought processes with high attention to detail and accuracy. Proficiency in data mining, analysis, and visualization tools, along with a strong understanding of data integrity issues. Experience with data visualization and dashboard development in PowerBI or similar. Knowledge of current data analytics tools, techniques, and landscape, as well as a dedicated and self-driven desire to keep abreast of the latest data analytics techniques. Experience with business fraud or internal audit analytics and investigation techniques. Ability to work collaboratively with minimal supervision as part of a multi-disciplinary team. Strong communications skills (verbal and written) with both technical and non-technical audiences. Ability to flex personal style according to the context of a situation to drive engagement with all stakeholders. Ability to travel internationally and domestically approximately 5-10%. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership –always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration, and support. #LI-BR3 #LI-Hybrid For U.S. based positions only, the pay range for this position is $91,520.00-$137,280.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement. Additional Information GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees. Relocation Assistance Provided: No

Job Description: We are seeking a meticulous and detail-oriented Data Entry Clerk to join our team. The ideal candidate will be responsible for inputting, verifying, and maintaining accurate records of various types of data. This position requires exceptional attention to detail, efficiency, and the ability to work independently. Responsibilities: Inputting, updating, and maintaining accurate data into databases, spreadsheets, and other electronic systems. Verifying data accuracy and resolving discrepancies. Organizing and maintaining documents and files in a systematic manner. Assisting with data cleanup and quality assurance initiatives. Generating reports and summaries as required. Collaborating with other team members to ensure data integrity and completeness. Following established procedures and protocols to ensure compliance with data privacy and security regulations. $25 - $45 an hour Requirements: High school diploma or equivalent; additional education or certification in data entry or related field is a plus. Proven experience as a data entry clerk or similar role. Proficiency in typing and data entry skills. Excellent attention to detail and accuracy. Strong organizational and time management skills. Ability to work independently with minimal supervision. Proficiency in Microsoft Office Suite (Excel, Word, Outlook). Familiarity with database management systems and software applications. Strong communication skills, both written and verbal. Ability to maintain confidentiality and handle sensitive information appropriately. Preferred Qualifications: Experience with specialized data entry software or systems. Previous experience in a similar industry or environment. Familiarity with data analysis and reporting tools. Ability to adapt to changing priorities and multitask effectively. Benefits: Competitive salary and benefits package. Opportunities for career growth and advancement. Positive and collaborative work environment. Flexible work schedule options (if applicable). Training and development opportunities.

At Arctic Wolf, we're not just navigating the cybersecurity landscape - we're redefining it. Our global team of dedicated Pack members is driving innovation and setting new industry standards every day. Our impact speaks for itself: we've earned recognition on the Forbes Cloud 100, CNBC Disruptor 50, Fortune Future 50, and Fortune Cyber 60 lists, and we recently took home the 2024 CRN Products of the Year award. We’re proud to be named a Leader in the IDC MarketScape for Worldwide Managed Detection and Response Services and earning a Customers' Choice distinction from Gartner Peer Insights . Our Aurora Platform also received CRN’s Products of the Year award in the inaugural Security Operations Platform category. Join a company that’s not only leading, but also shaping, the future of security operations. Position Overview and Objective The Business Operations Engineer - Data Sciences, compiles and mines performance data to drive opportunities and improvements in the service, driving weekly/monthly/quarterly reports and presentations. Key Responsibilities: Data Analysis: Utilize advanced data analysis to analyze business data, uncover insights, and forecast business outcomes. Process Optimization: Work with other members of the Business Operations team to identify areas for process improvement and design automated solutions that drive efficiency and reduce costs. Visualization: Create automated dashboards and reports that provide actionable insights to business leaders, helping them make informed decisions. Reporting: Develop, design, and deliver accurate and insightful data reports and dashboards to support business decision-making and performance tracking. Collaboration: Collaborate with other Business Operations Engineers to design solutions for other business organizations. Data Integration: Integrate data from multiple sources (both internal and external business systems) to provide a unified view of operations and performance metrics. Performance Monitoring: Track and measure the performance of business operations and ensure the effectiveness of implemented solutions. Predictive Analytics: Develop predictive models that help forecast business trends, customer behavior, and other key metrics to guide strategic decisions. Continuous Improvement: Constantly assess and enhance existing models and processes, identifying new opportunities for efficiency improvements and innovations. Required Skills and Qualifications: Bachelor’s degree in Data Science, Computer Science, Engineering, Business, or two years of relevant work experience in a similar role or field in lieu of degree ​ Experience in programming languages such as Python, R, SQL, and experience with data science libraries (e.g., Pandas, NumPy, scikit-learn). Solid understanding of data analytics and statistical modeling techniques. Experience in business operations or management consulting, with the ability to translate business problems into technical solutions. Proven track record of working with large datasets and developing data-driven solutions to optimize business processes. Familiarity with business intelligence tools (e.g., Tableau, Power BI, Looker) and reporting/dashboarding. Excellent communication skills, with the ability to convey complex data insights to non-technical stakeholders. Strong problem-solving skills, with an ability to think critically and creatively in a fast-paced environment. Experience with cloud platforms (AWS, Azure, GCP) and data storage solutions (e.g., Redshift, BigQuery, Hadoop) is a plus. Preferred Qualifications: Knowledge of business processes in areas such as supply chain, finance, sales, or operations. Experience with process automation tools and techniques (e.g., Robotic Process Automation). ​​​ Understanding of Agile project management methodologies. Experience working with cross-functional teams in a dynamic, fast-paced environment. Knowledge of Jira At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on diversity of thought, background, and culture. This is reflected in our multiple awards, including Top Workplace USA (2021-2024), Best Places to Work – USA (2021-2024), Great Place to Work – Canada (2021-2024), Great Place to Work – UK (2024), and Kununu Top Company – Germany (2024). Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 7,000 customers worldwide and more than 2,000 channel partners globally. As we continue to expand globally and enhance our technology, Arctic Wolf remains the most trusted name in the industry. Our Values Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day. We believe in diversity and inclusion, and truly value the unique qualities and unique perspectives all employees bring to the organization. And we appreciate that—by protecting people’s and organizations’ sensitive data and seeking to end cyber risk— we get to work in an industry that is fundamental to the greater good. We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance. See more about our Pack Unity here . We also believe and practice corporate responsibility, and have recently joined the Pledge 1% Movement, ensuring that we continue to give back to our community. We know that through our mission to End Cyber Risk we will continue to engage and give back to our communities. All wolves receive compelling compensation and benefits packages, including: Equity for all employees Flexible time off and paid volunteer days RRSP and 401k match Training and career development programs Comprehensive private benefits plan including medical, mental health, dental, disability, life and AD&D, and value-added services Robust Employee Assistance Program (EAP) with mental health services Fertility support and paid parental leave Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or local law. Arctic Wolf is committed to fostering a welcoming, accessible, respectful, and inclusive environment ensuring equal access and participation for people with disabilities. As such, we strive to make our entire employee experience as accessible as possible and provide accommodations as required for candidates and employees with disabilities and/or other specific needs where possible. Please let us know if you require any accommodations by emailing recruiting@arcticwolf.com. Security Requirements Conducts duties and responsibilities in accordance with AWN’s Information Security policies, standards, processes and controls to protect the confidentiality, integrity and availability of AWN business information (in accordance with our employee handbook and corporate policies). Background checks are required for this position. This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (“EAR”). Please note that, if applicable, an offer for employment will be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations.

Amentum is seeking a qualified HRIS Data Analyst that provides support in functional areas of Human Resources including but not limited to recruitment and employment, personnel records, employee and/or labor relations, job evaluation, compensation management, benefits administration, organization development, training, talent management and special projects. Responsibilities: Analyze workforce data, such as hiring, retention, attrition, and organizational mobility metrics, to identify trends and labor projections Build/modify data visualization dashboards, reports, and other products to suit client needs Assist in development of position description libraries Administer relational databases Normalize, standardize, and integrate disparate raw data sets Assist with survey design and execution across 18 IC agencies Provide data analytic support for surveys, data calls, and other human capital efforts Ability to clearly communicate technical or analytic findings in an easily understood narratives via graphical, written, and verbal formats Processes/Activities: Manage HR data, conduct analysis Requirements: Requires BA/BS and 3 + years of experience or no degree + 9 TS/SCI with polygraph is required Previous data analysis experience within the IC Strong Tableau experience is required Tools: MS Office including Excel, Tableau, Python, SQL Preferred: Tools: Cognos, VBA, R, SPSS, SAS, Lime Survey, Personal Operations Portal system, PD Library, Lawson Workforce analytics and workforce planning experience Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters .

Clear Capital is building the future of real estate data, and we need your help! We are seeking experienced product builders: with your talent as a Senior Data Engineer, help us reach our goals of knowing more about a property than anybody else and in the process, making home ownership valuations more fair and equitable for millions of people. Become part of an innovative team supporting and developing the data and machine learning products that will shape Clear Capital’s future. The Senior Data Engineer role at Clear Capital will involve working closely with product teams to build next-generation data products. Working alongside Software Engineers, Data Quality Analysts, ML Engineers, Data Scientists, and ML Ops Engineers who, like you, are dedicated to building exceptional data products. We are looking for a Senior Data Engineer to assist with the development and implementation of systems leveraging structured and unstructured data to deliver data and data science solutions at scale. As Senior Data Engineer at Clear Capital, you are committed to enabling the best work of others on the team. You help yourself and your team to consistently “level up.” You think ahead to anticipate the needs of others and provide concise information for decision-making. What You Can Expect Competitive compensation and immediate contribution! Inclusive benefits package offerings 401k plans and customizable benefits including dental, vision, medical, etc. for you and your dependents. An innovative culture that understands the importance of quality of work over quantity. Company supported and employee-driven ambassador groups that promote diversity, working on a hybrid schedule and philanthropy. Learning and development programs to help advance your career and personal growth. What We Value Wherever it leads, Whatever it takes! We believe in making the impossible possible! Thrive personally, grow professionally―be happy! Innovate, learn, lead- Knowledge and growth is never ending! We believe in hiring nice people because anything is possible when you have the team's support. Improving the lives around us- A smile could change the entire world. Be the most trusted, respected, and loved real estate valuation company in the world. What you will work on Design, develop, and maintain Extract Transform Load (ETL) data pipelines. Understand, operate, and improve legacy data pipelines that underpin our existing business operations. Provide direct support to Machine Learning, Business Intelligence, and Property Data Operations teams. Who we are looking for Qualified candidates should have a Bachelor’s degree or relevant experience focused on information technology and 4+ years of overall experience. 4+ years developing in Python Understanding of data warehouse, data lakes, and master data management approaches, ETL industry standards, and best practices Experience creating and maintaining scalable and robust AWS solutions Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, Snowflake) Firm grasp of Linux, including BASH scripting Experience with Airflow, DBT Deep knowledge of core AWS services, especially AWS Glue, AWS Batch, RDS, EMR, EKS, Lambda, and Step Functions Experience with containerization and related technologies (e.g., Docker, Kubernetes) About Us Clear Capital is a national real estate valuation technology company with a simple purpose: build confidence in real estate decisions to strengthen communities and improve lives. Our goal is to provide customers with a complete understanding of every U.S. property through our field valuation services and analytics tools, and improve their workflows with our platform technologies. Our commitment to excellence — wherever it leads, whatever it takes® — is embodied by team members. Clear Capital is an equal opportunity employer. To all recruitment agencies: Clear Capital does not accept agency resumes. Please do not forward resumes to our jobs alias, Clear Capital employees, or any other company location. Clear Capital is not responsible for any fees related to unsolicited resumes.

It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Essential Duties and Responsibilities: Open and maintain customer accounts by recording account information Resolve product or service problems by clarifying the customer's complaint; determining the cause of the problem; selecting and explaining the best solution to solve the problem; expediting correction or adjustment; following up to ensure resolution Maintain financial accounts by processing customer adjustments Recommend potential products or services to management by collecting customer information and analyzing customer needs Prepare product or service reports by collecting and analyzing customer information Contribute to team effort by accomplishing related results as needed Manage large amounts of incoming calls Generate sales leads Identify and assess customers' needs to achieve satisfaction Build sustainable relationships of trust through open and interactive communication Provide accurate, valid, and complete information by using the right methods/tools Meet personal/team sales targets and call handling quotas Handle complaints, provide appropriate solutions and alternatives within the time limits, and follow up to ensure resolution Keep records of customer interactions, process customer accounts, and file documents Follow communication procedures, guidelines, and policies Other duties as assigned. Qualifications and Requirements: Must be at least 18 years of age. Customer Service Skills Proven customer support experience Negotiation, Market Knowledge, and Ability to Work Under Pressure Excellent communication, presentation skills, and active listening. Phone Skills, Listening Skills, Resolving Conflict Patience, Positive Attitude, Attention to Detail, People Oriented Strong phone contact handling skills Familiar with CRM systems and practices Customer orientation and ability to adapt/respond to different types of characters Ability to multitask, prioritize and manage time effectively. Computer skills of Microsoft Office, Power BI, Spreadsheets, Email communication. High school diploma or equivalent; college degree preferred Benefits you will enjoy: Comprehensive benefits package that includes: Medical, Dental, Prescription Drug Plan, Disability Plan, Life insurance Plan 401K savings Plan Paid Holidays Personal Time off Employee Discounts Quirch Foods is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status. All applicants must be eligible to work in the United States.

Our client is a leading institutional investment platform in the digital asset space, providing comprehensive infrastructure and technology for investors to manage their entire digital asset investment lifecycle. Their platform integrates portfolio management, centralized and decentralized trading, risk management, and investment operations, enabling seamless engagement with both permissioned and permissionless decentralized finance (DeFi). Their mission is to build the necessary infrastructure that allows institutional investors to seamlessly integrate digital assets and DeFi into the existing financial system. We’re looking for a skilled Data Engineer to design and implement high-throughput, real-time data pipelines that serve both trading systems and analytics infrastructure. You’ll work closely with a small, senior team to build systems that ingest, transform, and serve blockchain data at scale — especially on Solana. If you're passionate about Rust, real-time systems, stream processing, and the crypto space (or want to be), this role is for you. Key Responsibilities: Build and maintain low-latency data pipelines using tools like Apache Flink , NATS , Kafka , or similar Ingest and process blockchain data from Solana via Geyser or Yellowstone Work with ClickHouse , RisingWave , or similar systems to support analytics and internal dashboards Develop production-quality code in Rust and/or C++ Optimize pipelines for performance, reliability, and scalability Collaborate with quant, infra, and trading teams to ensure systems meet performance requirements Key Qualifications: Strong experience with stream processing frameworks (e.g., Flink, Kafka, NATS) Hands-on experience with Rust or C++ in production environments Familiarity with data lake and analytics engines like ClickHouse, RisingWave, or Arroyo Understanding of real-time or low-latency system architecture Bonus: Experience with Solana or other blockchain infrastructure Bonus: Familiarity with Geyser plugin system or Solana RPC indexing Preferred Qualifications: Experience with Rust Experience with blockchain technologies Familiarity with real-time data processing Background in financial or trading systems What We Offer: Competitive salary and benefits package. Opportunity to work with a passionate and innovative team. Flexible working hours and remote work options. Professional growth and development opportunities. A collaborative and inclusive company culture.

Data Integration Engineer Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local * * * The Opportunity: We are seeking a fully qualified Data Integration Engineer to join the CACI Team. CACI provides lead edge contract support across the globe. This exciting opportunity will place you working amongst the finest CACI Team supporting the WISE contract. Responsibilities: · Perform the migration of data from legacy systems to new system. · Design and implement effective database solutions and models to store and retrieve migrated/mapped data. · Security Clearance Requirement: Active/current TS/SCI is required. Qualifications: Required: Active and current TS/SCI clearance with Poly. US only citizen. · Bachelor's degree and 5+ years of experience computer science, computer engineering, or relevant field. Years of experience may be accepted in lieu of degree for certain roles. Certifications may be accepted in lieu of a degree for certain technical roles. · Experience with data modeling, data integration, and data warehousing. · Experience with analyzing and extracting key data and information to meet an organization's information system needs and requirements. · Experience in data validation and cleaning to ensure the quality and integrity of data. · Experience with ETL. · Experience with SQL. Desired: · Amazon Web Services (AWS) certification. · Ability to execute projects and tasks with minimal guidance and supervision. · Possession of excellent oral and written communication skills. · Possession of excellent data gathering, analytical, and problem-solving skills. · Experience with business & data system requirements (understanding and implementing). · Knowledge of PeopleSoft. - ________________________________________________________________________________________ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ________________________________________________________________________________________ Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here . Since this position can be worked in more than one location, the range shown is the national average for the position. The proposed salary range for this position is: $68,400-$143,700 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.