Black Youth Can
Data Scientist
Black Youth Can, Snowflake, Arizona, United States, 85937
Join Scene+ and be part of Canada’s most robust lifestyle loyalty program with over 15 million members and growing! We are a trusted brand, driven by the belief that there’s always something to look forward to with rewards for every kind of life. Our goal is to become Canada’s favourite loyalty program by nurturing our Members with rewards their way.We’re the exciting joint venture of Cineplex, Empire, and Scotiabank, blending the energy, optimism, and atmosphere of a startup with the support of three iconic Canadian companies. With over 100 team members and plans to grow more, we’re an emerging, responsive company. We offer collaboration, accountability, challenges, and rewards to everyone who joins us.Our motto is “Love what’s next,” and we believe it applies to your career too. Join us to help evolve the program, collaborate with amazing teams, and love what lies ahead.Who we needReporting to the Manager of Data Science, we are looking for a
Data Scientist
to help drive the development of cutting-edge machine learning models and big data analytics capabilities at Scene+. You will play a key role in data science, advanced analytics, and predictive modelling initiatives, addressing various stakeholder needs and business use cases. You will leverage our diverse cross-industry data and collaborate with the team to deliver insights and presentations that are clear and actionable for both technical and non-technical audiences.This is a hybrid role, working 5 days over a 2 week period in the office.What’s in it for youImpact.
We are a data science driven company. Our customer database is one of Canada’s largest and most complex, with data from dozens of partners and millions of members and their transactions. Your work will be all about the membership: understanding who they are, what they want and do not want. Your work will directly contribute to our growth by empowering our teams with the information they need to engage and delight members.Exposure.
You will deepen your skills as you use our raw data and build machine learning models to further understand the millions of Canadians nationwide accessing our loyalty program. You will have the chance to work on an expansive array of projects, drawing on data from many different industries.Professional development.
From leveraging the latest tools and technologies while contributing new ideas, you will be part of a team and an organization that values innovation and fresh perspectives. We have a proven history of supporting the growth of our people. You will work with a manager who nurtures a collaborative environment, enabling everyone to achieve exceptional results. Whether you want to deepen your expertise in machine learning and data modeling, explore another area of our business, or move to one of our parent companies, there is always something to look forward to.As our new Data Scientist, you will:Build. You will work across the entire Machine Learning lifecycle, including data wrangling, feature engineering, model development, and deployment. Post-deployment, you will monitor the performance of models, interpret results, and derive insights for continuous model improvement.Solve.
You will collaborate with business partners to identify opportunities for data science-driven solutions. Your role will involve conducting exploratory data analysis (EDA), and refining predictive models using advanced algorithms, and leveraging data visualization techniques to summarize critical insights. You will present these results to stakeholders, simplifying complex concepts into clear, actionable insights.Grow.
You will research and stay current with the latest trends in data science technologies and methodologies, continuously bringing forward new ideas and approaches. You will challenge existing processes, driving improvement through data science-enhanced solutions.You bring:The knowledge.
You are a Data Scientist driven by curiosity and a passion for applying a strict scientific approach to find meaningful answers in the data. You have worked with big data sets and successfully built machine learning models. You have experience with structured and unstructured data and have worked at all stages of data science (problem definition, data acquisition and wrangling, modelling, and feature engineering and deployment). You have exposure to the Machine Learning lifecycle and statistical concepts.The technical skills.
You can learn new tools independently and quickly. You are proficient in using one or more statistical programming languages (i.e., Python/Pyspark) for data science; have demonstrated experience writing complex SQL queries to extract and integrate data from multiple database sources; and have worked with open source libraries such as Kubernetes, Tensorflow, or PyTorch. You have worked with relational databases, big data platforms, data lakes (Databricks, Spark, Snowflake, or similar), and cloud infrastructure.Interpersonal skills.
You can nurture relationships across internal and external teams, gaining trust to influence decisions. You are open to sharing and receiving feedback and have the potential to lead the work of others. You have professional communication skills, including translating complex data science concepts and findings for different audiences and levels.At Scene+, we cultivate an innovative and collaborative environment. Guided by our values, we aim to exceed the expectations of our partners and members.We offer:Perks:
Enjoy a competitive salary and benefits package, performance-based bonuses, and extra rewards from our owners, including discounted rates on mortgages, banking, movies, and more.Warmth:
We foster a genuine culture where relationships, knowledge sharing, and creativity thrive.Growth:
Working for Scene+ offers exposure to a range of industries represented by our owners and partners. You’ll have the chance to work on diverse initiatives, collaborate with cross-company teams, and expand your career path options both internally and with our owners.What you can expect from our interview process:A virtual interview with a Talent Advisor discussing your interest in the role and the company.A coding assessment led by a data scientist on our team.An interview with the Manager, Data Science to share your experience and discuss how you will work with the team.An interview with the Director, Data Science to expand on how your work with the Data Science team will support the mission and growth of Scene+.Apply now.If you have 70% of what we’re looking for and 100% authenticity and passion, express your interest here. Please contact us by email at careers@scene.ca and let us know what accommodations or assistance we can provide you during the application process.At Scene+, we’re committed to diversity, equity, and inclusion. We strive to integrate these values into everything we do, from our partners and offers to our teams and interactions. We welcome and appreciate candidates from diverse backgrounds, including women, persons with disabilities, Black, Indigenous and People of Colour (BIPOC), the LGBTQ2SIA+ community, and other equity-seeking groups.
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Data Scientist
to help drive the development of cutting-edge machine learning models and big data analytics capabilities at Scene+. You will play a key role in data science, advanced analytics, and predictive modelling initiatives, addressing various stakeholder needs and business use cases. You will leverage our diverse cross-industry data and collaborate with the team to deliver insights and presentations that are clear and actionable for both technical and non-technical audiences.This is a hybrid role, working 5 days over a 2 week period in the office.What’s in it for youImpact.
We are a data science driven company. Our customer database is one of Canada’s largest and most complex, with data from dozens of partners and millions of members and their transactions. Your work will be all about the membership: understanding who they are, what they want and do not want. Your work will directly contribute to our growth by empowering our teams with the information they need to engage and delight members.Exposure.
You will deepen your skills as you use our raw data and build machine learning models to further understand the millions of Canadians nationwide accessing our loyalty program. You will have the chance to work on an expansive array of projects, drawing on data from many different industries.Professional development.
From leveraging the latest tools and technologies while contributing new ideas, you will be part of a team and an organization that values innovation and fresh perspectives. We have a proven history of supporting the growth of our people. You will work with a manager who nurtures a collaborative environment, enabling everyone to achieve exceptional results. Whether you want to deepen your expertise in machine learning and data modeling, explore another area of our business, or move to one of our parent companies, there is always something to look forward to.As our new Data Scientist, you will:Build. You will work across the entire Machine Learning lifecycle, including data wrangling, feature engineering, model development, and deployment. Post-deployment, you will monitor the performance of models, interpret results, and derive insights for continuous model improvement.Solve.
You will collaborate with business partners to identify opportunities for data science-driven solutions. Your role will involve conducting exploratory data analysis (EDA), and refining predictive models using advanced algorithms, and leveraging data visualization techniques to summarize critical insights. You will present these results to stakeholders, simplifying complex concepts into clear, actionable insights.Grow.
You will research and stay current with the latest trends in data science technologies and methodologies, continuously bringing forward new ideas and approaches. You will challenge existing processes, driving improvement through data science-enhanced solutions.You bring:The knowledge.
You are a Data Scientist driven by curiosity and a passion for applying a strict scientific approach to find meaningful answers in the data. You have worked with big data sets and successfully built machine learning models. You have experience with structured and unstructured data and have worked at all stages of data science (problem definition, data acquisition and wrangling, modelling, and feature engineering and deployment). You have exposure to the Machine Learning lifecycle and statistical concepts.The technical skills.
You can learn new tools independently and quickly. You are proficient in using one or more statistical programming languages (i.e., Python/Pyspark) for data science; have demonstrated experience writing complex SQL queries to extract and integrate data from multiple database sources; and have worked with open source libraries such as Kubernetes, Tensorflow, or PyTorch. You have worked with relational databases, big data platforms, data lakes (Databricks, Spark, Snowflake, or similar), and cloud infrastructure.Interpersonal skills.
You can nurture relationships across internal and external teams, gaining trust to influence decisions. You are open to sharing and receiving feedback and have the potential to lead the work of others. You have professional communication skills, including translating complex data science concepts and findings for different audiences and levels.At Scene+, we cultivate an innovative and collaborative environment. Guided by our values, we aim to exceed the expectations of our partners and members.We offer:Perks:
Enjoy a competitive salary and benefits package, performance-based bonuses, and extra rewards from our owners, including discounted rates on mortgages, banking, movies, and more.Warmth:
We foster a genuine culture where relationships, knowledge sharing, and creativity thrive.Growth:
Working for Scene+ offers exposure to a range of industries represented by our owners and partners. You’ll have the chance to work on diverse initiatives, collaborate with cross-company teams, and expand your career path options both internally and with our owners.What you can expect from our interview process:A virtual interview with a Talent Advisor discussing your interest in the role and the company.A coding assessment led by a data scientist on our team.An interview with the Manager, Data Science to share your experience and discuss how you will work with the team.An interview with the Director, Data Science to expand on how your work with the Data Science team will support the mission and growth of Scene+.Apply now.If you have 70% of what we’re looking for and 100% authenticity and passion, express your interest here. Please contact us by email at careers@scene.ca and let us know what accommodations or assistance we can provide you during the application process.At Scene+, we’re committed to diversity, equity, and inclusion. We strive to integrate these values into everything we do, from our partners and offers to our teams and interactions. We welcome and appreciate candidates from diverse backgrounds, including women, persons with disabilities, Black, Indigenous and People of Colour (BIPOC), the LGBTQ2SIA+ community, and other equity-seeking groups.
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