Data Jobs in Boston

Brainshark is seeking an experienced Database Administrator to join our Engineering team in our Boston Seaport office. The DBA is responsible for installing, configuring, and upgrading Brainshark’s database assets, capacity planning, performance tuning, backup and recovery, and analyzing and improving processes. The ideal candidate will work with developers, QA engineers, and infrastructure engineers, gain a deep understanding of the data flows inside the Brainshark application, and work proactively to find and implement improvements.

We’re growing quickly and are searching for a Regulatory Reporting Analyst to scale through data-driven insights and action. You will collaborate across business areas to help us optimize our regulatory processes and data sets. If you’re looking for a fast-paced environment where you’ll see the direct impact of your personal work right away, then you’ve come to the right place. Join us.

As a Remote Sensing Data Engineer on the GeoInnovation Team at Indigo, you will collaborate closely with both Engineers and Data Scientists to understand geographical and sensor data and integrate the disparate data sets into the UDP. In this role, you will be the bridge between Data Science and Engineering, building, scaling, driving Data Science solutions into production. This is an extremely collaborative, cross-functional role that addresses incredibly large datasets to solve impactful problems. 

As the Director of Data Science, you will be responsible for managing the team and leading day-to-day operations. You will work with the executive team to create and deliver the analytics and data science roadmap for the organization. Additionally, you will be working closely with our clients to develop descriptive and predictive models tailored for their use cases and population.

We’re looking for a data-savvy individual to join our Data Science team as a Data Analyst, to create consumer-focused research content and support user-centric product development and growth based on our real-time feed of billions of flight search results along with an archive of several trillion data points. You may be a great fit for our team if you are excited about exploring huge (and sometimes messy) data sets and finding effective ways to simplify and communicate the results to a non-technical audience.

We are actively hiring a full-time Data Integration Engineer with 5+ years of data integration experience who wants to create something meaningful that will greatly impact people’s lives. PatientPing receives HL7 data from hospitals and HIEs around the country and the Data Integration Engineer will be part of the team managing our HL7 data infrastructure, and helping to develop the technical roadmap for different types of data ingestion. They will be responsible for ensuring the overall stability and reliability of the system and they will play an integral role in onboarding new facilities, mapping data, and ensuring that appropriate logic is applied. This role will also involve architecting solutions for complex client needs and working with the engineering team to ensure PatientPing is continuously capable of meeting our rapidly growing data consumption demands. The ideal candidate will work well in a team, be detail oriented, and will take ownership of the data flow process, inbound and outbound. 

As a Data Science Engineer on our Core modeling team, you will work on our machine learning platform and actively contribute to the development of our state-of-the-art preprocessing and modeling capabilities. Core Modeling owns the entire data science backend for DataRobot, and is responsible for making sure our models and modeling automation are the best in the world. We are looking for talented people with excellent engineering skills and deep knowledge of Machine Learning who can analyze problems, develop innovative solutions, and implement them for real-world use on top of our platform. DataRobot is based around delivering best-in-class data science solutions and this position provides the opportunity to build the key data science components of our system.

You will be the data scientist taking raw data and exploring it to tell stories using dashboards, reports, insights, and analyses actionable by other team members. As a member of the data science team, you’ll work with team members along the full data science stack, from data pipelines to machine learning.

Overview: SimpliSafe is seeking a highly motivated, detail-oriented Strategy Associate who can transform raw data into meaningful insights and actionable recommendations.  In this role, you will have the opportunity to directly contribute to our growth and help provide direction to our organization.  You will join a small but growing team of former management consultants and will interact directly with cross functional groups and executive

As a Director of Data Science, you will provide direct, hands-on leadership to a team of data scientists, while working closely with engineers who productize machine learning solutions. Your work will be central to meeting Circle’s goal of becoming the premier platform for tokenizing, investing in and trading of crypto assets. As a part of your job you will interface with business stakeholders and have an opportunity to significantly impact results and decision making for risk, compliance, marketing and trading functions at Circle. Importantly, your work will help improve customer experience across a range of products offered by Circle.

The Strategy Development Analyst work with the Director of Strategy (Strategy Lead) and lead cross-functionally to support the identification and analysis of strategic business opportunities through assessment of each brand's current environment and the marketplace for our brick and mortar and online businesses. Strategy Associates assist the Director of Strategy with developing strategic recommendations for the brands, often developing analytics and presentations to support the recommendation. Strategy Consultants participate in key team discussions and are expected to share their analysis, viewpoints and rationale.

CarGurus, the world’s largest car search platform, is looking for a Content Risk Analyst to join our team. Data and content integrity are critical to the growth of CarGurus expanding global business. This role will be integral in ensuring the consistency of the data and content on the CarGurus platform. You will work closely within Data Integrity and across the organization to help implement best practices and optimize efficiency for the team.

BookBub is looking for an experienced leader to manage and grow the team that answers our most significant strategic and operational questions. The person who fills this newly-created position will increase the organizational impact of a team of talented analysts, evolving the department to meet the needs of a rapidly-growing company. This is a leadership role (VP or Sr. Director level, or equivalent) that will regularly interface with business leaders across the organization.

Align and drive team members towards an inspiring vision, yet stage work to deliver value incrementally. Build highly scalable software to ensure data quality and data reliability across our microservices architecture, leveraging Scala and technologies like HBase, Spark, etc. As a hands-on lead, you will work closely with our team of software engineers and product managers to deliver rapid value. Collaborate directly with the company’s technology leadership on insuring Hopper’s success. Mentor and coach technical team members.

As a Business Intelligence Analyst you will work on a variety of projects: building customer facing dashboards and reports in our ProviderMatch Analytics product; supporting our Customer Success Teams by instrumenting customer usage and results performance as part of the evolution and delivery of value; and, working on challenging ad hoc projects that help support all manner of Kyruus business activities. You’ll work cross functionally, connecting the dots between our products, our business initiatives, and our customers. You’ll work on painting the big picture with data that demonstrates the value Kyruus drives to its customers.

Create and execute strategy for using data to create value for the Toast Marketing team. Formulating hypothesis about trends in the restaurant market and collaborate with the business intelligence team to write data queries and test those hypothesis. Producing deep statistical analyses and data visualization to tell data-driven stories, and communicating analyses effectively to a broad audience. Regionalize data findings to accelerate 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. Support Communications / PR team in building narrative of content performance for external and internal purposes.

As Business Intelligence Specialist, you will work within the Data Analytics team to design, develop, and maintain our business intelligence reporting tool, Looker. Much more than just building reports, you will be counted on to understand the business needs of various teams throughout the organization and be able to tailor an experience for them that empowers them to do their work with maximum efficiency and efficacy. We are at a very important and exciting time for our organization, and getting the right insight to the right stakeholders on time will be a key to our ongoing success.

Determines database structural requirements by analyzing client operations, workflows, applications, and programming; reviewing objectives with clients; evaluating current systems. Work with Developers to create database solutions by designing proposed system; defining database physical structure and functional capabilities, security, backup, and recovery specifications. Installs database systems by developing flowcharts; applying optimum access techniques; coordinating installation actions; and supporting documentation. Maintains database performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; completing maintenance; answering user questions. Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality. Evaluation of data accuracy, completeness, timeliness and stability to establish repeatable, sustainable processes to maintain. Assist with Proof of concept, data correlation, data integrity and processes that require coordination of efforts across multiple business areas. Provide thought leadership in the assessment of existing systems. Ensure adherence to data management standards and practices. Develop best practices, standards of excellence, and guidelines to enforce and guide behavior. Provides database support by coding utilities, responding to user questions, and resolving problems. Prepares users by conducting training.

We are looking for a data expert to join our Data Services team to help our restaurants understand and interpret the data generated by their LevelUp-powered app. LevelUp now partners with over 150 restaurants, each with its own unique KPIs and business goals. Our Data Analysts help map those KPIs and goals to data in our system to drive deeper business understanding and help our restaurants achieve their goals. We are also looking for a Data Analyst to help with internal projects - optimizing our databases and queries, finding new insights for our overall marketing strategy and recommendations, and help other teams with their data needs. If you love SQL, if figuring out new ways to define Lifetime Value gets you up in the morning, if you are always finding new ways to prove your point using data, this job is for you.

Identify, implement, and drive adoption of analytics-based solutions to business problems. Perform quantitative research on large data sets. Mentor other data scientists, engineers, and analysts, and provide scientific support across all departments and for end customers. Guide and potentially participate in the software implementation of data products. Innovate new ways data science can be used to support the organization and its mission.