Data Jobs in Boston

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.

The Image Analysis Lead will build a comprehensive image analysis strategy and tools throughout Indigo from laboratory assays to field imagery. They will accelerate Indigo’s R+D pipeline by automating experimental analysis with image processing and suggest new imaging strategies and derived metrics to improve our understanding of our microbes and their interactions with plants...

We're looking for a thoughtful, technical and deeply collaborative Data Science 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.

The ideal rockstar candidate is adept at using diverse data sets to find opportunities for business process optimization and using models to test the effectiveness of different courses of action.They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. This candidate must have a proven ability to drive business results with their data-based insights and be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Essential Responsibilities

Who we are Drizly is the world's largest alcohol marketplace and the best way to shop beer, wine and spirits. Our customers trust us to be part of their lives – their celebrations, parties, dinners and quiet nights at home. We partner with the best retail stores in over 100 cities across North America to serve up the best buying experience and offer a huge selection and competitive pricing with a side of personalized content. That is what we do.

As a Scaleout Engineer, you will build out Data Management and ETL system inside DataRobot utilizing distributed frameworks such as Spark, Hadoop and Kubernetes. You will build scalable solutions to process high data volumes, with the main focus on crafting robust components for data intake, cleanup and full variety of data transformation. You will also be responsible for designing and implementing features from start to finish, including clean and easy to use APIs, automated tests, and deployment infrastructure.

About Taymax Taymax Group Acquisition, LLC (“Taymax”) is a multi-unit franchisee of Planet Fitness, which is one of the largest and fastest-growing franchisors and operators of fitness clubs in North America.  Taymax owns and operates over 60 clubs in California, Texas, Pennsylvania, Tennessee and Ontario, Canada, and has plans to double its club count over the next 5 years.  Taymax is one of the largest and fastest-growing franchisees in the

We are seeking an experienced data scientist who is passionate about data science and machine learning to join a growing team. As a Data Scientist, you will process massive amounts of data and build advanced machine learning models to solve a variety of complex business problems, such as recommender systems, classification and natural language generation (NLG).

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.

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.

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.

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.

Building and maintaining the infrastructure of our high performance, highly reliable data analytics platform. Polishing and improving the data model used across the company with an eye toward long term scalability. Improving, augmenting and overhauling our existing reporting system to raise insights for our customers that couldn’t be accomplished without the power of the new platform. Working individually or sometimes as the technical leader of a small group of engineers across a broad spectrum of projects. Collaborating with many of the most critical aspects of the business, ranging from the CTO all the way to Customer Success and Marketing.

The ideal candidate for this position will have a strong interest in healthcare and technology, excellent quantitative skills, experience conducting observational or health outcomes research and knowledge of claims and/or EMR databases. The candidate must also possess excellent written and verbal communication skills so as to work effectively in cross-functional teams and communicate 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.

We’re reimagining sports and technology.  DraftKings is bringing sports fans closer to the games they love and becoming an essential part of their experience in the process. An industry pioneer since our founding in 2012, we believe we can continue to define what it means to be a technology company in sports entertainment. We love what we do and we think you will too. Love data? We do too. As a Data Engineer, you’ll be a creative contributor to

Natural Language Processing of customer, contact center agent, and Service Provider comments. We collect a large number of comments at each step of a Roadside Assistance event. The Data Scientist will be responsible for building models to analyze these comments and provide actionable insights. Development of real-time algorithms monitoring Roadside Assistance jobs in progress. We have a contact center team responsible for handling cases which can lead to a negative customer experience. The Data Scientist will be responsible for updating and/or replacing the algorithms which analyze cases in real time and escalate to this team. Service Provider and Customer Fraud Detection. As with any service, there are times where either our customers or our network of Service Providers try to take advantage of the system. The Data Scientist will be responsible for building models to detect fraudulent behavior as quickly as possible.

As a machine learning infrastructure engineer at Kensho, you are a thoughtful, collaborative, and dynamic technologist who loves building the infrastructure that enables Kensho to take a model from development to production seamlessly. You are relentless about bringing high quality software design practices to a discipline where it is sometimes lacking. In this role you will constantly use your top-notch collaboration skills working with groups of engineers who approach problems very differently. You understand the subtleties and pitfalls of running statistical models in a production environment, and you are passionate about building robust systems to do so.

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.