Additional Qualifications and Skills Bachelor's Degree in computer science, engineering, life or physical sciences or a related discipline preferred. Highly proficient in Python. Advanced degree may count toward experience. We are especially interested in candidates with : an advanced degree in science or engineering programming experience in languages (e.g., C, Java, MATLAB) in addition to Python experience with machine learning, deep learning, and convolutional neural networks work experience in biomedical research and / or an academic science environment demonstrated experience teaching or training in an informal setting. The successful candidate will be self-motivated, and creative, and enjoy working in a dynamic and intellectually stimulating environment. S / he will be skilled at translating research problems into well-defined technical specifications and then developing and supporting user-friendly software solutions; s / he will have excellent coding skills; interpersonal skills; and enthusiasm for collaborating closely with biologists. Demonstrated experience in software development from the industry a plus. Basic Qualifications Minimum of two years’ post-secondary education or relevant work experience Position Description Our group in the Department of Neurobiology at Harvard Medical School is looking for an innovative and enthusiastic software engineer to join a multidisciplinary research laboratory. This position is ideally suited to a strong programmer wishing to apply their skills to understanding biological neural networks. We are interested in how computations arise from the organization and connectivity of neuronal networks. To analyze neural circuit structure and function at highest resolution and completeness possible, we combine large-scale structural and functional imaging techniques including high-throughput electron and X-ray microscopy, and in vivo two-photon calcium imaging. We seek a software engineer with strong programming skills and coding experience. They should be capable of developing and deploying software for large data processing, handling, and analysis; user interfaces; and for driving custom hardware. Main projects include : Development of software for high-throughput imaging instrumentation; Development of software and machine learning pipelines for large-scale data processing and analysis; Development and support of large data processing, storage, and computing infrastructure; Success will require close working collaboration with biologists and the ability to independently develop scientific computing software solutions to address biological questions. Building and optimizing programming pipelines will play a vital role in helping us to better understand the brain. Typical duties of the Functional Connectomics Software Engineer include : Developing software to generate, process, and analyze large-scale image data; Big data wrangling; Scientific software support and documentation for biologists; Computational systems oversight and programming; Communicating with collaborators and service providers; Documenting projects and communicating project progress. We offer the opportunity to : Apply your coding skills toward understanding the brain in a vibrant academic environment; Do cutting edge science with a supportive and collaborative team;

Position Description Our group in the Department of Neurobiology at Harvard Medical School is looking for an innovative and enthusiastic software engineer to join a multidisciplinary research laboratory. This position is ideally suited to a strong programmer wishing to apply their skills to understanding biological neural networks. We are interested in how computations arise from the organization and connectivity of neuronal networks. To analyze neural circuit structure and function at highest resolution and completeness possible, we combine large-scale structural and functional imaging techniques including high-throughput electron and X-ray microscopy, and in vivo two-photon calcium imaging. We seek a software engineer with strong programming skills and coding experience. They should be capable of developing and deploying software for large data processing, handling, and analysis; user interfaces; and for driving custom hardware. Main projects include : Development of software for high-throughput imaging instrumentation; Development of software and machine learning pipelines for large-scale data processing and analysis; Development and support of large data processing, storage, and computing infrastructure; Success will require close working collaboration with biologists and the ability to independently develop scientific computing software solutions to address biological questions. Building and optimizing programming pipelines will play a vital role in helping us to better understand the brain. Typical duties of the Functional Connectomics Software Engineer include : Developing software to generate, process, and analyze large-scale image data; Big data wrangling; Scientific software support and documentation for biologists; Computational systems oversight and programming; Communicating with collaborators and service providers; Documenting projects and communicating project progress. We offer the opportunity to : Apply your coding skills toward understanding the brain in a vibrant academic environment; Do cutting edge science with a supportive and collaborative team; Basic Qualifications Minimum of two years’ post-secondary education or relevant work experience Additional Qualifications and Skills Bachelor's Degree in computer science, engineering, life or physical sciences or a related discipline preferred. Highly proficient in Python. Advanced degree may count toward experience. We are especially interested in candidates with : an advanced degree in science or engineering programming experience in languages (e.g., C, Java, MATLAB) in addition to Python experience with machine learning, deep learning, and convolutional neural networks work experience in biomedical research and / or an academic science environment demonstrated experience teaching or training in an informal setting. The successful candidate will be self-motivated, and creative, and enjoy working in a dynamic and intellectually stimulating environment. S / he will be skilled at translating research problems into well-defined technical specifications and then developing and supporting user-friendly software solutions; s / he will have excellent coding skills; interpersonal skills; and enthusiasm for collaborating closely with biologists. Demonstrated experience in software development from the industry a plus. Certificates and Licenses Completion of Harvard IT Academy specified foundational courses (or external equivalent) preferred

The Senior Data Scientists will take a lead role in the end-to-end process of data science initiatives with limited supervision, including but not limited to model design, structure, development and post-deployment model performance monitoring. By conducting innovative research through advanced analytics and technical sophistication, the Senior Data Scientist will contribute to create the economic value at scale from both future growth and profitability perspectives. In this role, you will be set on a constant "treasure hunt" for new data sources to apply the latest techniques for modeling projects. You will have unparalleled opportunity to apply state-of-the-art machine learning techniques to real world datasets. You will work on a team of PhD level statisticians to create ground-breaking predictive models using new analytical techniques that determine insurance pure premiums, customer life time value, customer buying behaviors and other related topics. This work will be used in setting pricing, underwriting, marketing, policy and claims service, fraud detection and product design strategies for the Plymouth Rock group of Companies. The role is not simply research : you will be part of a tactical team driving the profit and customer growth of an assigned business segment. The analysis and modeling will be tested via implementation both broadly and on a pilot basis to allow us to learn and refine our approaches in rapid succession. Education Requirement and Qualification PhD from a quantitative area such as STEM (Science, Technology, Engineering and Mathematics), Economics, and Business. 5+ years of data science experience of developing and deploying advanced solutions with innovated concepts and sophisticated methodologies in the areas of Finance, IRM (Insurance and Risk Management), and Actuarial Science. Hands-on modeling experience and deep understanding of both conventional quantitative analytics such as GLM, GLMM, Bayesian statistics, Actuarial methods and tree-based machine learning techniques like GBM, Random Forest, Topics Model and Deep Learnings. Excellent programming skill of major software packages such as Python, R and SAS Deep understanding of database principle and solution deployment platform. Excellent communication skills both written and oral. Self-starter and critical thinking Essential Functions and Education Heavily contribute to the end-to-end predictive solution provision process, which includes but not limited to, technical evaluation of data usage, methodological selection, model development and creation / maintenance of post-deployment monitoring capability. Actively participate the feedback loop among different stakeholder groups to address newly emerging issues in a timely and constructive manner Collaborate with upper management to evaluate the impact of proposed solutions and incorporates these considerations into recommendations. Work with third party vendors and leading research institutions to explore new data source and newer methodologies seeking continuous improvement. Data Science projects include but not limited to development of pricing models, evaluation of customers' lift time value, credibility methodologies as well as experiment / algorithm design and implementation on Telematics. Communicate analytics, strategy and recommendations to diverse audiences, including technical and non-technical. Manage working streams of high complexity. Perform other job-related duties as assigned. About the Company The Plymouth Rock Company and its affiliated group of companies write and manage over $1.8 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,800 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A. M. Best rating of "A- / Excellent". We believe that every person is entitled to equal employment opportunities. We do not discriminate against any employee or qualified applicant for employment on the basis of age, race, color, religion, national origin, ancestry, disability, gender, sexual orientation, gender identity or expression or genetic information. In addition, the state in which you work may protect certain other characteristics. We are committed to treating employees fairly and with dignity and respect, and we unconditionally prohibit discrimination in hiring, terminating, promoting, or compensating any employee on the basis of a qualified individual's membership in any of these protected classes

Job Description Position Title : Data Scientist Business Line : Data & Analytics Reports to : Advanced Analytics & Data Science Lead Basic Purpose : The Data scientist is a member of the analytics team whose focus is to build custom calculation engines, cleanse datasets and build reports and dashboards supporting the ESG and other quant business users. Primary Responsibilities : Partner with business teams to understand and document requirements, processes and workflows developing both written and visual depictions of requirements and process flows Work extensively in python and additional statistical packages to develop solutions for business problems statements. Deploy code to analytics platform using self-service deployment or partner with the technology team for dev-assisted deployment. Intermediate level knowledge of docker and Jupyter notebooks / Jupyter Hub Engages with business quant teams in a consulting capacity to train / help build analytics solutions including Machine Learning models Builds Tableau Data Models utilizing best practices, ensures data accuracy and ability to blend with other certified data sources. Maintains data sources on Tableau Server. Understand the reporting framework (Tableau) and partner with Enterprise reporting IT team to build & deploy reports and dashboards. Evaluate data sources and technology options, recommend appropriate solutions. Perform data analysis, data mapping, and develop ad hoc queries. Write SQL queries, stored procedures and scripts, ETL jobs. Perform QA testing of developed deliverables and assist with User Acceptance Testing Partner effectively with all levels of the organization and be responsible for direct interaction with internal business users. Manage the prioritization, logging and tracking of user related issues, defects, enhancements and work requests Job Requirements : Bachelor’s degree or equivalent in Finance, economics, Computer Science, Mathematics, Statistics or Physics Minimum of 5 years in investment analytics Minimum of 5 years business / data analysis and / or system development experience 5+ years’ experience in the financial services industry Strong development skills in Python Strong SQL skills Strong Excel skills Exposure to AWS cloud environment Strong analytical skills, problem solving and attention to detail. Ability to work in a team environment Excellent verbal and written skills Maintain a strong commitment to quality Tools used : Microsoft Office, MS SQL Server, Oracle, Tableau suite, Python, Microsoft Visio, ESP Enterprise Scheduler, Docker and Airflow, Jupyter , Scikit, Pandas

We are a new kind of travel company that uses big data to empower travelers. Our app for iOS and Android analyzes trillions of past and current trips to predict when you should fly and buy. The app notifies you when fares drop so you can book flights at just the right moment. We are among the fastest growing travel apps ever, with over 15 million installs since it was launched in 2015. We’re looking for a data-savvy individual to join our team as a data scientist, 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. In this role you will Transform complex analyses into short, compelling, and easy to understand studies to share with journalists aimed at a consumer audience Frame and conduct complex analyses and experiments using tremendously large (e.g. 10 6 to 10 10 records), complex (not always well-structured, highly variable) data sets Design and implement ad hoc and automated analysis scripts, design and deliver appropriate summary tables, charts and interactive tools to present your results REQUIRED A qualified candidate has A degree in Math, Statistics, Computer Science, Engineering or other quantitative discipline Extremely strong analytical and problem-solving skills Proven ability to communicate complex technical work to a non-technical audience A strong passion for and extensive experience in conducting empirical research and answering hard questions with data Experience with relational databases and SQL, especially Hive Experience working with extremely large data sets Experience in Pandas, R, SAS or other tools appropriate for large scale data preparation and analysis Experience with data mining, machine learning, statistical modeling tools and underlying algorithms Proficiency with Unix / Linux environments Sound like a fit? We can't wait to hear from you.