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Designlab – Torne-se um designer com cursos práticos e orientação.
Patrocinado por DesignlabAbout the job
Who we areGeotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities.Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.Our team is growing and we’re looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it’s like to be a Geotabber, check out our and follow us @InsideGeotab on . Join our to learn more about job opportunities and company news.Who You AreWe are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Data Scientist, Product Analytics who will perform data analytics to answer tangible business needs and find meaningful insights. If you love technology, and are keen to join an industry leader — we would love to hear from you!What You'll DoAs a Senior Data Scientist, Product Analytics, your key area of responsibility will be to understand and translate product analytics metrics into queries and build dashboards and reports related to a wide range of Geotab products. You will need to work closely with the Data & Analytics and Product Teams. To be successful in this role you will be a self-starter with strong written and verbal communication skills, have an eye for detail, good business acumen and ability to quickly understand complex, technical concepts. Previous experience with product analytics tools such as Amplitude, Mixpanel or Google Analytics is a plus.How You'll Make An Impact
- Examine large data sets to identify trends, develop charts, and create visual presentations to help businesses make more strategic decisions.
- Utilize statistical tools to interpret data sets and prepare reports that effectively communicate trends, patterns, and predictions based on relevant findings.
- Write optimized SQL queries to find answers to complex business questions.
- Identify any data quality issues and partialities in data acquisition.
- Coordinate with the engineering team to gather incremental new data.
- Proactively identify trends in data as well as identify interesting correlations that suggest new product areas to invest in to increase our customer satisfaction.
- Provide expert project leadership as a SME: guidance to team members and participate in cross-departmental projects establishing Geotab as a leader in data science.
- Prioritize and manage multiple projects for different stakeholders, ensuring timely and successful delivery.
- Test the performance of data-driven products and make recommendations for improving Geotab’s product suite.
- Conduct causality experiments by applying A/B experiments or epidemiological approach to identify the root issues of an observed result.
- Post-secondary Diploma/Degree specialization in Data Science, Mathematics, Computer Science, Statistics, or related field.
- Graduate or post-graduate Degree in Data Science, Mathematics, Computer Science, Statistics, or a related field is highly valued.
- 5-8 years of experience as a Data Scientist or similar role.
- 5-8 years experience in writing SQL queries.
- 5-8 years experience in programming in Python.
- Solid understanding of machine learning and operations research.
- Knowledge of data management and visualization techniques.
- Affinity for statistical analysis and predictive modeling.
- The above are offered to full-time permanent employees only