Data Jobs in Boston

Generate daily, weekly, monthly and quarterly reports for use by internal Indigo stakeholders working with growers making grain marketing decisions. Create framework to approach basis decision timing. Partner with data science to create robust models for basis prediction / scenario analysis. Actively support Indigo for Grain Sales.

We are hiring a Senior Analyst, Product Analytics for our Personalization team in Boston, MA. In this Senior Analyst position, you will help us build scalable, robust product analytics solutions for Personalization at Chewy. You will demonstrate a passion for delivering outstanding customer experience, experience building scalable solutions and will bring communication skills that allow you collaborate to instill trust in the teams that you are working with.

We’re looking for a data engineer who’s excited by both the business problems we are solving, and the technical challenges we need to overcome. You’ll work side-by-side and very collaboratively with our VP of Business Intelligence and Senior Data Scientist to design our data architecture, explore new technology, conduct detailed analyses of key business problems, and automate critical workflows.

Keep our datastores reliable, available and fast. Respond to, investigate and fix issues, whether it’s deep in the Database code or in the client application. Build tooling to minimize customer-facing downtime, and scale up resources on short notice Protect and ensure the consistency of customer data. Work with developers to design data models, and choose the correct datastores, to support orders of magnitude more customer data and traffic.

Our ideal Data Modeler has advanced knowledge of application, data, and infrastructure disciplines. You’ll use your skills to implement data strategies, build data flows, and develop conceptual data models. You’re capable of working independently and communicating effectively to provide feedback on policies, procedures, processes, and standards. The team culture of working collaboratively, cross-functionally, using new technologies combined with the work/life balance provided by MassMutual are core reasons people enjoy working on the Data Engineering team at MassMutual.

The ideal candidate has a background in data science, statistics and machine learning and has done work ranging from exploratory analysis to training and deploying models. We use a wide variety of data mining and machine learning algorithms. The right candidate will have both a solid fundamental understanding and deep practical experience with at least a few modeling and machine learning techniques.

In this position you will work with a big data engineering group to design, install and test data processes which ingest and analyze over a billion records every night. Leveraging technologies like Apache Spark and Nifi, SQL Server, and ElasticSearch you will implement data integration projects on cloud platforms such as AWS. The ideal candidate would be passionate about using technologies to solve complex problems in a distributed, non-homogeneous environment.

In this position you will work with a talented engineering group to design, develop, install and test in scala and spark sql data pipelines which ingests and analyzes over a billion records every night. Leveraging technologies like Mesos, DCOS, Apache Nifi, Spark, ElasticSearch and ELK you will implement data integration projects on cloud platforms such as AWS. This role involves building the data pipelines which feed the cutting edge of population health and analytics within the healthcare industry and working to solve complex problems to ensure the best data for our clients. The ideal candidate will be team first, detail oriented and a self-starter to take ownership over each project they’re on.

You will be a member of CircleCI's data science and analytics team reporting to our director. The data science and analytics team is focused on improving our product experience and building a data-driven product culture. You will be embedded into CircleCI's growth practice. The growth practice is four teams spanning Product and Engineering. Each growth team is led by a product manager and supported by an analytics lead (that’s you!). Growth teams deliver measurable improvements to our product experience. To do so, they collaborate across CircleCI’s entire organization, including product, design, and marketing as well as application and data engineering.

We are looking for someone to build the future of customer and retailer experience at Drizly. This person will support and optimize existing customer service processes, as well as collaborate on the future product roadmap. This role will be responsible for covering the entirety of pre- and post-order issues that can occur on Drizly, from inventory stockouts, internal or technical Drizly mistakes, customer issues, and store/courier errors. They will incorporate diverse 3rd party data sets (Zendesk, Humanity, Zenefits) with Drizly internal data.

Lead biostatistics efforts in a team setting of fellow scientists and machine learning engineers. Cross-functional collaboration with other teams to integrate large-scale datasets and use bioinformatics to define the factors associated with drug response and resistance. Develop computational methods and build tools to enable data-driven patient stratification and inform the development of clinical decision support products. Identify scientifically relevant findings within datasets spanning multiple modalities. Develop scalable computational solutions to further clinical data analysis automation across projects. Communicate findings both internally and externally and recommend follow up actions.

We are looking for data engineers to create and optimize DPM's data pipeline architecture. You'll be an early and key member of a team building massively scalable systems to enable DPM to analyze petabytes of data. You will be a key partner of our data science, operations and product teams and deliver great support to those teams. If you are passionate about using (and sharpening) your skills to solve massively complex data problems, we'd like to hear from you.

Identify opportunities for process improvements and more effective decision making through reporting and analysis; build reports and dashboards to enable teams across the company. Define metrics to evaluate business performance and products; build reports and dashboards to monitor and understand them. Partner with the Sales, Product, HR, Finance, Marketing, and Engineering departments to grow our business through greater visibility and access to data. Communicate and present data analysis, visualizations, and insights to key stakeholders. Be a voice and advocate for using data to improve the quality of our decision-making.

As the Principal Data Scientist, you will be a “go-to” domain specialist in data science and machine learning. You will lead the charge on innovative work, mentoring more junior data scientists, and guiding the organization on methodology and the best ways to work. You will also guide high-profile projects - not just delivering solutions, but finding opportunities and owning the work. Your statistical, computer science and business domain expertise will have a significant influence on our business.

In support of this transformation, we are hiring for a newly created Data Science Chapter Lead position who will manage a team of data scientists responsible for the overarching goals of (i) developing best-in-class models and algorithms to create new data products and/or improve existing ones and (ii) establishing a data science community within Vistaprint, to foster exchange between various data capability chapters.

As a Google Analytics Expert in the Insight Enablement team, you are going to be working with different departments throughout the company helping to generate understanding, improve data collection and provide digital analytics solutions to any business requirements, while maintaining high standards of governance. The role is hands-on to implement and maintain our Web Analytics tracking solution, GA360, Adobe Analytics as well as support partners across the company so that they can improve the website experience for our customers. 

The Data Visualization Analyst 2 builds user interfaces, visualizations, and data algorithms, working with Humana’s member contact centers. Takes complex data and makes it more accessible, understandable and usable for leaders to derive insights and ultimately enable them to make the better business decisions. The Data Visualization Analyst 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.

We are seeking a technically-oriented Data Engineer to drive efficiency across our business intelligence data landscape. This person will have a passion for problem-solving and will analyze all existing data pipelines to identify opportunities to increase efficiency and enhance data quality. They will gain a deep understanding of the data sources that populate DOMO, our BI reporting platform, and the connections that integrate those systems. The ideal candidate will have a proven track record of providing data solutions that empower stakeholders to make critical business decisions and will play a key role in championing data quality and consistency across the business.

· Regular evaluation of implemented tools for investment productivity and effectiveness. Continually assess functional capabilities vs. other tools in market and opportunities for enhancing existing or introducing new tools. · Evolve the existing landscape of reporting through developing new leadership level dashboards and presentations with consistent look and feel within the bounds of our brand. · Provide thought leadership and data journalism mentorship to other analysts. · Build and maintain the distribution of push reporting and self-service data products for all levels of the organization, enabling seamless access to information. Ensure federation of data assets while maintaining appropriate privacy and information security requirements. · Work with team partners on the architecture and supporting data structure to guarantee high-performance, scalable reporting solutions. Routinely assess reporting performance, intercepting impacts from technical changes and guaranteeing customer satisfaction. Define and manage SLA metrics to track the availability and quality of reports and dashboards.

We’re looking to bring aboard our first Data Scientist to develop next generation features into the LogRocket platform. LogRocket currently tracks millions of events across our customers’ web applications to ensure product teams can quickly identify and squash any bugs or errors that arise. We now want to leverage that data to uncover new aspects of user experiences and provide proactive, actionable insights to our partners to ensure they are building the best experience possible for their users. You will have millions of data points to explore and play around with on a daily basis, all while building the foundation for LogRocket’s Data Science team and function for years to come.