Data Jobs in Boston

We're looking for a thoughtful, technical and deeply collaborative Machine Learning Engineer to work with our growing Analytics Engineering team! This position will provide foundational framework for the Data Science team. This includes building the infrastructure to allow the team to "publish" models into production, developing Python libraries to facilitate feature generation, and providing the data science team with product-based datasets to train their models.

Lead teams of data scientists to solve complex agricultural problems by unifying high throughput laboratory data with mass field data with machine learning models to deliver on business scientific priorities. Perform end-to-end analysis from development of data specification requirements through data processing and normalization and statistical/probabilistic modeling to machine learning on an ongoing basis. Determine causal effects of Indigo’s microbial and agronomic treatments in real world conditions to further our understanding of where, why, and how our products work. Build machine learning models that predict business and scientifically relevant field outcomes and simultaneously increase our understanding of real-world agricultural data and the drivers of the outcomes we observe. Help to drive research and development by designing and developing visuals of data analyses and presenting these as compelling storyboards to non-technical audiences.

Our ideal Investment Data Analyst candidate is team-oriented, has strong investment acumen; and great communication skills. Successful candidates will be adept at managing time and prioritizing multiple initiatives. The nature of the work also requires strong problem solving skills and resourcefulness in order to identify root causes and design and implement practical solutions to complex recurring issues.

As machine learning capabilities mature and automation increases, there will always be a need for humans to understand and explain the behavior of AI systems. The Machine Learning Engineer position on the Explainable AI team will be a key factor in realizing this vision by actively contributing to the development of our automated insights toolchain. We are looking for talented people with deep knowledge of Machine Learning / Statistics and strong engineering skills. Your responsibilities will include the automation of data science best practices, build tools to detect and address data and model issues, build models that deliver world class tradeoff between accuracy and explainability and develop state-of-the-art insights.

The Toast Capital team is seeking a highly motivated Collections Analyst to provide servicing and collection support to a growing portfolio of restaurant customers. Toast Capital is a wholly owned subsidiary of Toast, Inc. that offers Toasts restaurant partners fast and flexible financing for any business need. The ideal candidate will have experience in a service organization with significant attention to detail and strong organizational skills. This individual will be an ambassador of the Toast Capital brand and proliferate Toast Capital’s goal to empower restaurants financially to thrive and do what they love. This individual’s efforts will have a significant impact on the long-term success of a rapidly growing product for Toast.

Design, implementation and installation of distributed big data infrastructure for high volume/velocity multi-tiered data storage, high availability and fault tolerance. Experience in the installation and maintenance of clustered big data environments based on Hadoop and related technologies. Design, construct, implement and support data warehouse databases for optimal reporting and analytics. Optimize database operations for maximum performance. Work with engineering teams on near real time data pipeline and streaming technologies. Work with the Operations team in performing routine and periodic database maintenance and develop and implement automated maintenance, compliance and archival strategies. Design and implement security strategies to ensure role based access, auditing, and authenticated access to data for internal users, external users and automated tools. Maintain the database infrastructure in multiple locations to handle the high throughput use cases that are critical to the Platform.

As the Director of the Everbridge Database Reliability Engineering team, you are responsible for ensuring overall service quality and availability of Everbridge's data solutions. The technology platforms that we support automate the international delivery of critical information to help keep people safe and businesses running. We are a 24x7x365 distributed team that can do our job anytime, anywhere on the planet with an Internet connection. Our holistic understanding of various technologies allows us to effectively maintain a heterogeneous blend of worldwide public and private cloud services where lives and livelihoods are at stake in the event of failures. We are dedicated, passionate people who are committed to internal/external customer service and doing the right thing.

Work with the entire team to prioritize our backlog by business value and effort. Burn through said backlog, getting data where it’s most needed. Share in creating the team roadmap. Improve performance & efficiency wherever you can. Treat data quality as a 1st class deliverable, because it is. Create consumers, data pipelines, transformations, tables, buckets, schedules, DAGs and all the other components of a good data integration solution. Move a lot of data.

We are seeking a superstar Data Engineer to join our Engineering Team and take ownership of our entire data and analytics platform. You are sharp, results-oriented, knowledgeable, ambitious, and resolved, taking pride and ownership in everything the team builds.

Build pipelines to keep the Kensho knowledge graph synchronized with dozens of external data sources. Integrate knowledge extraction and data aggregation tools with Kensho’s natural language processing tooling. Craft logical and abstract representations of world events. Work with our analysts to ensure the graph has provably correct and complete data. Find new data sources and reduce the latency of information entering the graph, widening both the breadth and depth of the information we capture.

Building Abacus’ MDM delivery competency from the ground up, including establishing Abacus’ MDM delivery best practices. Working with architecture, product management, and engineering, and to ensure required MDM customer functionality is built as part of the Abacus product. Engaging with senior customer stakeholders on regular basis to build strong strategic relationships and understand deeply their MDM pain points and requirements. Supporting the technical development and evolution of Abacus domain and master data models.

Initiating, managing, and successfully executing new, cross-functional initiatives that increase alignment and create synergies across Flywire. Identifying and assessing the viability of new business opportunities, strategic initiatives, and revenue optimization. Working across functions to improve efficiency, productivity, and performance. Drive alignment on priorities across key business functions (e.g. sales & marketing, product, finance, payment operations) through our strategic planning and OKR cycles. Monitor our external environment (e.g., market conditions, competitive pressures, regulatory landscape) and derive implications for the business.

The Assortment Analyst III will be the critical lynchpin between the e-merchandising team and the brand category leadership for the optimal online assortment in all key categories across brands. This role will consult with brand merchandising leadership on the right product mix and assortment related to what their customer cares about most and ensure that this is supported by data.   The role will utilize tools and science to arrive at assortment decisions that are optimal for the online customer – both click and collect as well as home delivery. 

The Digital Trade & Planning Manager will be responsible for the execution of digital trade initiatives within a brand. Working closely with the merchandising commercial planning team, this role will ensure that trade dollars will maximize customer value for those shopping via digital channels.

Reporting to the US quality lead, the Customer Solutions Center (CSC) is seeking an individual with a strong attention to detail to join our team as a Quality and Insurance Analyst. This individual will be charged with the execution of a QA program that ensures that our agents provide an industry leading customer experience by supporting and developing our agents to achieve their best while maintaining the highest possible business standards.

The Senior Data Engineer will accelerate Drizly’s data driven decision making through a period of rapid growth. From building a data processing framework to help support 1B+ events to integrating new data pipelines, Drizly’s most critical decisions will rely on a scalable, well-managed foundation of data. The Senior Data Engineer is a critical member of the Engineering organization that works closely with Data Science and Business Intelligence, as well as product focused engineering teams. In short, the Senior Data Engineer will help define the building blocks for Drizly’s data capabilities.

Develop a stronger understanding of how contest variants and player salaries impact user experience and behavior. Use your findings to improve user behavior and maintain a strong DraftKings economy through the levers of game mechanics. Work alongside partner teams to implement your recommendations. Measure the impacts of your actions on user success and engagement.

We are seeking a skilled and experienced database administrator to join our growing organization. In this position, you will Design, Implement, & Maintain the Data Solutions for our offerings in both relational and nonrelational databases. This is truly a Big Data opportunity with existing datasets of ~180TB in SQL DBs and a growing Elasticsearch Cluster of over 670TB of data in production and ~20TB per day ingestion. An organized, detail-oriented work ethic is a must. We are looking for Leaders at all levels. Database Administrator Duties and Responsibilities

CrunchTime! (www.crunchtime.com), the leading enterprise restaurant management platform, is experiencing record sales growth and is seeking new team members across the organization who share our passion for restaurants and technology.  Back in 1995, when we created the first web-based restaurant back office system, the cloud certainly wasn’t the buzzword it is today. Since then, the world's best brands representing ten's of thousands of

We are seeking a Data Strategy & Reporting Analyst to help define and stabilize the data model for the company’s wealth of data. This is a key position reporting directly to the Director of Enterprise Applications, working to define Bevi’s organizational data management practices and centralized reporting strategy. This role will be responsible for driving Bevi’s Business Intelligence tool development and taking ownership of the organizational data model, positioning the company for rapid scalability and enabling data-driven decisions across all business units.