Data Jobs in Boston

The job requires the ability to rapidly prototype new features, demonstrate them to various stakeholders (data scientists, product managers, corporate management) and peers, accept feedback and iterate on implementation as necessary. The ideal candidate should have several years of industry experience in multiple modern javascript frameworks, write quality code, participate in design/development discussions, and the ability to quickly integrate mock-ups into the working application.

Upserve is seeking a Marketing Operations Manager to enable Upserve's customer-facing teams to grow pipeline, lift win rates, and slash time out of the sales cycle, while delighting our existing installed base to drive up engagement, reduce churn, generate referrals and up-sell. The Marketing Operations Manager works with Sales and Marketing leadership to manage the systems, tools, and technology that enable efficient and effective marketing

In this role, you are an experienced technology executive and subject matter expert in AI, Analytics and Search who is able to work cross-functionally with executive and technical leadership on SaaS and Product strategy. In addition, you are a hands-on global leader of R&D managers, and when necessary, individual development teams. You set the very highest expectations for your teams and are comfortable leading rapid improvement to create a top-performing Intelligent Data Services R&D organization.

The Data Engineer will help build, run and improve the current data engineering platform while contributing to the design and rollout of the next platform iteration. You’ll be working cross-functionally with several teams including Analytics, Product, Marketing and eCommerce. Your key focuses will be building up our data warehousing infrastructure and providing best practices for data engineering.

Create and execute strategy for using data to create value for the Toast marketing team. Understand business requirements and identify the best strategies and relevant data to solve the issue at hand. Explore and analyze diverse data sets to find patterns, develop insights, and formulate hypotheses about trends in the restaurant market.  Collaborate with the business intelligence and analytics teams to write data queries, test those hypotheses, and confirm accuracy of data. Investigate those insights further by researching comparative data within the market and within Toast teams, looking for trends and new pieces of information. Produce deep statistical analyses and data visualization to tell data-driven stories, and communicating analyses effectively to a broad audience.  Regionalize data findings to accelerate marketing and sales in key markets. Communicate actionable insights to non-data oriented content creators both internally with the Toast content team and externally with our content partners. Conduct data-intensive ad-hoc analysis on content performance to better understand audience segmentation and guide optimization of programming mix.

The ideal candidate for this position will have a strong interest in healthcare and technology, excellent quantitative skills, and experience analyzing large databases. The candidate must also possess excellent written and verbal communication skills so as to work effectively in cross-functional internal teams and communicate externally with clients. An ability to work in a fast-paced environment, sometimes under pressure, remaining flexible, proactive, resourceful and efficient, with a high level of professionalism is crucial to this role at BHE.

Conduct initial and ongoing due diligence analysis of asset managers and investment opportunities and ad hoc and routine research on investment related topics (Conduct the periodic delivery and review of aggregated information via data entry & automation (i.e. scorecards, performance reporting, due diligence summaries). Manage or conduct focused, short time horizon Due Diligence projects and projects that may have a long time horizon and broad impact across the company. Manage Due Diligence / Vendor interactions, such as gathering information, coordinating communication, conducting & coordinating site visits. Assessment of asset manager’s compliance program and governance environment. Consult with other departments to help them understand how investment issues and due diligence findings impact their areas of concern. 

We are seeking an outstanding engineering tech lead interested in building products that solve customer problems, ranging from back-end data processing and machine learning, to front end presentation and dashboarding. This is an opportunity to build enterprise software that solves the most time-consuming, manually intensive problem in data science: enriching, curating, and preparing data. Working with very strong colleagues, you will lead a team and help design and implement creative solutions to problems in microservice applications, data pipelining, distributed computing, large-scale computing, interactive-response-time processing, and system architecture.

Chewy is seeking a highly motivated, goal-oriented, and analytical, Data Scientist to join our exciting and fast paced company in Boston, MA. Our team is growing and if you are equally passionate about data analysis, digital marketing, e-commerce, and career growth, an opportunity at Chewy may be a great match! As the Data Scientist, you will be focused on solving business problems by advanced mathematical modeling to predict outcomes of high impact business decisions. In this role, you will own the management of Chewy’s digital marketing data science end-to-end. You will cooperate with BI teams across the organization in finding insights and developing the right data solutions. In this role, you should be effective at organizing large amounts of data from multiple data sources and build predictive and machine learning models from these large data sets, in order to support solutions of business problems as well as marketing campaign optimizations. This candidate should have a passion for data quality and attention to detail.

Build new features to improve our analytics platform. Contribute to the design of new functionality. Assist customer support team with analytics and software inquiries. Run ETL scripts and perform quality control tasks. Configure our software platform to use data sets and ensure ETL instructions and documentation are up-to-date. Become an expert in the structure and contents of each data source we work with.

Extract, transform and load data from source to production. Perform data quality assessment and measurement. Maintain and ensure databases are delivered on-time to our customers. Create and maintain documentation pertaining to ETL processes. Collaborate with data engineers on ETL process development. Serve as a technical resource in resolving questions related to databases or other data issues.

The ideal candidate for this position will have a strong interest in healthcare and technology, excellent quantitative skills, and experience analyzing large databases. The candidate must also possess excellent written and verbal communication skills so as to work effectively in cross-functional internal teams and communicate externally with clients. An ability to work in a fast-paced environment, sometimes under pressure, remaining flexible, proactive, resourceful and efficient, with a high level of professionalism is crucial to this role at BHE.

Take ownership of design, development, deployment, and operations of data science infrastructure. You will research and develop advanced models that uncover insights from raw data and integrate those algorithms into our platform. Collaborate with business leads across the company to plan and execute valuable data science projects. Lead your team in design sessions and ensure your team delivers high quality work that aligns with DraftKings engineering strategy.

The ideal candidate for this position will have a strong interest in healthcare and technology, excellent quantitative skills, and experience analyzing large databases. The candidate must also possess excellent written and verbal communication skills so as to work effectively in cross-functional internal teams and communicate externally with clients. An ability to work in a fast-paced environment, sometimes under pressure, remaining flexible, proactive, resourceful and efficient, with a high level of professionalism is crucial to this role at BHE.

We're looking for experienced machine learning scientists to join our team and help solve some of these challenges. If you're the right candidate, your day-to-day will look like: Understand PathAI’s products and services and introduce technology innovations with respect to functionality, performance, reliability, and scalability. Design, develop and maintain the machine learning infrastructure that powers PathAI Research and development of novel machine learning algorithms for the product platform Research and development of machine learning algorithms to expand product capabilities Participate in building new experiences, improve existing products, ensure quality assurance test designs and contribute to test systems architecture discussions

We're looking for experienced machine learning engineers to join our team and help solve some of these challenges. If you're the right candidate, your day-to-day will involve: Understanding PathAI’s products and services and introducing technology innovations with respect to functionality, performance, reliability, and scalability. Designing, developing and maintaining the machine learning infrastructure that powers PathAI Performing research and development of machine learning algorithms to expand product capabilities Participating in building new experiences, improve existing products, ensure quality assurance test designs and contributing to test systems architecture discussions

Collect, analyze and report data to provide insight and allow other team members or client groups to be able to achieve strategic objectives. Give the company and its clients insight into the big picture. Present timely, accurate, and actionable information that produces data driven decision-making practices. Draw insight from existing database of customer and transactional data. Participate in ad-hoc analysis, wrangling large amounts of data and translating quantitative findings into strategy recommendations.

We are currently accepting applications for a Senior Director of Research who will provide leadership on scientific methods and applications in a variety of areas, including outcomes research, epidemiology, and data science. This is a key position that reports to company leadership and leverages BHE’s partnerships with data organizations and academic experts.

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.

The Intelligent Systems Group Lead ensures the highest level of capability, consistency and quality in planning, estimation, and control engineering across Aurora.  The Group Lead is responsible for maturing the company’s technical capabilities and methods (processes, tools, organization, etc.) in their area, and responsible for leading individual contributors to envision, develop, test, modify, and deliver practical solutions to technical problems.