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b'\n\t\t\tTitle: Senior Data Scientist\nLocation: Remote\nAbout Agero:Wherever drivers go, we\xe2\x80\x99re leading the way. Agero\xe2\x80\x99s mission is to rethink the vehicle ownership experience through a powerful combination of passionate people and data-driven technology, strengthening our clients\xe2\x80\x99 relationships with their customers. As the #1 B2B, white-label provider of digital driver assistance services, we\xe2\x80\x99re 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 www.agero.com.\nJob Summary:\nAgero is currently seeking a talented Senior 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.\nKey Outcomes:\n\nDesign, develop, and implement predictive, descriptive, and prescriptive models that could drive strategic decisions in various aspects of the business.\nAnalyze complex datasets, identify patterns, trends, anomalies, and derive actionable insights.\nCollaborate 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.\nPresent findings and data-driven recommendations to non-technical stakeholders and executive leadership.\nEnsure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow.\nDevelop and implement data collection methodologies and data quality assurance processes.\nCollect, clean, and preprocess large volumes of structured and unstructured data from various sources.\nCreate data visualizations, reports, and dashboards to effectively communicate findings and recommendations to stakeholders.\nStay updated with the latest advancements and trends in data science and analytics.\n\nQualifications:\n\nBachelor\xe2\x80\x99s or Master\xe2\x80\x99s degree in Data Science, Statistics, Computer Science, Mathematics, or a technical field.\nProficient in Python, R, SQL, and data visualization tools such as Tableau or PowerBI.\nKnowledge of data visualization tools, such as Tableau, Power BI, or D3.js.\nExperience in statistical techniques such as Regression, Hypothesis Testing, Natural Language Processing, Machine Learning algorithms.\nStrong problem-solving skills and the ability to translate business requirements into analytical solutions.\nExcellent communication skills to present findings and insights to non-technical stakeholders.\nAttention to detail and the ability to work independently as well as part of a team.\nProven ability to comprehend business strategies and objectives, translate business needs into analytical projects, and derive actionable insights to positively impact business performance.\n\nPreferred Qualifications:\n\nExperience with big data technologies and distributed computing frameworks, such as Hadoop or Spark.\nKnowledge of natural language processing (NLP) and text mining techniques.\nExperience with cloud platforms, such as AWS or Azure.\nFamiliarity with data engineering processes, including data extraction, transformation, and loading (ETL).\nPrevious experience in a technical role or experience at a top-tier professional services or leading technology company.\n\nHiring In:\n\nUnited States: AZ, FL, NC, IL, KY, MA, MI, NM, TN, and VA\nCanada: Province of Ontario\n#LI-REMOTE\n\nD, E & I Mission & Culture at Agero:\nWe 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\xe2\x80\x99 relationships with their drivers, and support the communities we live and work in unites us together as one force driving positive change.\nThe road to positive change starts inside Agero. In celebrating each other\xe2\x80\x99s 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 \xe2\x80\x93 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.\nTHIS 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.\nTo review Agero\xe2\x80\x99s privacy policy click the link: https://www.agero.com/privacy.\n***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 recruiting@agero.com\n\t\t'