Data Scientist

at Agero Remote

About Agero :

Wherever drivers go, we’re leading the way. Agero’s mission is to rethink the vehicle ownership experience through a powerful combination of passionate people and data-driven technology, strengthening our clients’ relationships with their customers.

As the #1 B2B, white-label provider of digital driver assistance services, we’re pushing the industry in a new direction, taking manual processes, and redefining them as digital, transparent, and connected.

This includes : an industry-leading dispatch management platform powered by Swoop; comprehensive accident management services;

knowledgeable consumer affairs and connected vehicle capabilities; and a growing marketplace of services, discounts and support enabled by a robust partner ecosystem.

The company has over 150 million vehicle coverage points in partnership with leading automobile manufacturers, insurance carriers and many others.

Managing one of the largest national networks of service providers, Agero responds to approximately 12 million service events annually.

Agero, a member company of The Cross Country Group, is headquartered in Medford, Mass., with operations throughout North America.

To learn more, visit .

Job Summary :

Agero is currently seeking a talented Data Scientist to join our team. This role provides an exciting opportunity not only to harness the potential of large datasets to drive business growth and develop strategic insights but also to shape your career path towards becoming a key decision-maker.

We are passionate about fostering a data-centric culture and encourage innovative thinking. If you are someone who thrives on uncovering insights from numbers and influencing business decisions through data, we would love to hear from you.

Key Outcomes :

• Design, develop, and implement predictive, descriptive, and prescriptive models that could drive strategic decisions in various aspects of the business.
• Analyze complex datasets, identify patterns, trends, anomalies, and derive actionable insights.
• Collaborate with cross-functional teams including Data Engineers, Business Analysts, Product Managers, and other stakeholders to identify opportunities for leveraging company data to drive business solutions.
• Present findings and data-driven recommendations to non-technical stakeholders and executive leadership.
• Ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow.
• Develop and implement data collection methodologies and data quality assurance processes.
• Collect, clean, and preprocess large volumes of structured and unstructured data from various sources.
• Create data visualizations, reports, and dashboards to effectively communicate findings and recommendations to stakeholders.
• Stay updated with the latest advancements and trends in data science and analytics.

Qualifications :

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a technical field.
• Proficient in Python, R, SQL, and data visualization tools such as Tableau or PowerBI.
• Knowledge of data visualization tools, such as Tableau, Power BI, or D3.js.
• Experience in statistical techniques such as Regression, Hypothesis Testing, Natural Language Processing, Machine Learning algorithms.
• Strong problem-solving skills and the ability to translate business requirements into analytical solutions.
• Excellent communication skills to present findings and insights to non-technical stakeholders.
• Attention to detail and the ability to work independently as well as part of a team.
• Proven ability to comprehend business strategies and objectives, translate business needs into analytical projects, and derive actionable insights to positively impact business performance.

Preferred Qualifications :

• Experience with big data technologies and distributed computing frameworks, such as Hadoop or Spark.
• Knowledge of natural language processing (NLP) and text mining techniques.
• Experience with cloud platforms, such as AWS or Azure.
• Familiarity with data engineering processes, including data extraction, transformation, and loading (ETL).
• Previous experience in a technical role or experience at a top-tier professional services or leading technology company.

Hiring In :

• United States : AZ, FL, NC, IL, KY, MA, MI, NM, TN, and VA
• Canada : Province of Ontario

LI-REMOTE

D, E & I Mission & Culture at Agero :

We are all Change Drivers at Agero. Each day, we speak to thousands of drivers and tow professionals across one of the most diverse countries in the world.

Our mission to safeguard drivers on the road, strengthen our clients’ relationships with their drivers, and support the communities we live and work in unites us together as one force driving positive change.

The road to positive change starts inside Agero. In celebrating each other’s differences, we lift each other up and create space for innovation and community.

Bringing our whole selves to work powers our commitment, drive, agility, and courage - ensuring we are not only changing the landscape of the driver services industry, we also are making a difference in the lives of our customers with each call, chat, and rescue.

THIS DESCRIPTION IS NOT INTENDED TO BE A COMPLETE STATEMENT OF JOB CONTENT, RATHER TO ACT AS A GUIDE TO THE ESSENTIAL FUNCTIONS PERFORMED.

MANAGEMENT RETAINS THE DISCRETION TO ADD TO OR CHANGE THE DUTIES OF THE POSITION AT ANY TIME.

To review Agero's privacy policy click the link : .

Disclaimer : Agero is committed to creating a diverse and inclusive environment and encourages applications from all qualified candidates.

Accommodation is available. Additionally, we offer accommodation for applicants with disabilities in our recruitment processes.

If you require accommodation during the recruitment process, please contact

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