Data Scientist - Toronto - Harry Rosen Inc.

    Harry Rosen Inc.
    Harry Rosen Inc. Toronto

    1 week ago

    Description
    Data Scientist page is loaded##

    Data Scientistlocations:
    Torontotime type: Full timeposted on: Posted 6 Days Agojob requisition id: R5770It's fun to work in a company where people truly BELIEVE in what they're doing*We're committed to bringing passion and customer focus to the business.
    Data ScientistFull-Time Permanent*Reporting to*Director of Analytics*Toronto, Ontario
    Harry Rosen Inc. Central Office (77 Bloor St. West)Hybrid work environment*As a leading luxury menswear retailer operating across Canada, Harry Rosen is seeking a Data Scientist to join our growing team. This is an excellent opportunity to be part of a highly-talented team working in a dynamic environment, focusing on leveraging data to drive important Marketing, Store Operations, and Strategic initiatives. With a full-fledged digital transformation well underway, this is an exciting time in the history of Harry Rosen, where the successful candidate will engage with innovative and high-profile data projects across many areas of the business.

    If you are looking to make a significant impact on how we elevate Analytics to represent our brand, high standards, and service levels that our customers expect, come join usIf you are an experienced Data Scientist with an interest in the retail industry – this is an ideal role for you.

    This is a hybrid position, with the ability to commute to downtown Toronto when required.


    Key Responsibilities:

    *Modeling & Data Activation
    Build and refine feature sets, statistical models, clustering models and recommendation engines to support optimization, automation and personalization use cases.
    Collect and validate business requirements across departments/teams to ensure models align to intended use cases.
    Assess data availability and suitability for modeling and segmentation work. Deploy and automate models and pipelines in partnership with engineering.

    Monitor production models and segmentations for drift, bias, stability and accuracy; taking corrective action as needed.Analytical Research
    Conduct statistical analyses and research to support decision making, strategy development and operational insights.

    Collaborate with business partners to understand data-generating processes, business objectives and research needs.
    Complete ad hoc queries, aggregations and visualizations to address emerging business questions and planning needs.

    Present analytical findings in a clear, objective and audience-appropriate manner, including any relevant limitations or potential sources of error.Data Set Development
    Build standardized data sets using SQL, dbt, R or Python to support reporting, feature engineering and downstream data applications.

    Develop and deliver derived data elements including aggregates, summaries and calculated attributes.

    Ensure data quality and resilience to missing values, outliers and schema changes.Data Product Support
    Support the design and development of dashboards, reports and other data products that translate analytical outputs effectively for non-technical audiences.

    Assist in maintaining and improving data sets used for reporting and model activation. Contribute to product roadmaps and backlog refinement by providing effort and complexity estimates.
    The successful candidate will have the following background/experience:
    *
    • University degree in Mathematics, Statistics, Data Science or a related field, or an equivalent combination of education and experience
    • At least 2 years of experience in a related role, acting in the capacity of a Data Scientist
    • Solid understanding of Statistical Analysis, Machine Learning, Data Analysis, and a demonstrated ability to translate between business and technical requirements
    • Strong technical skills in R or Python, SQL for data analysis, BI platforms and tools (e.g. Tableau, Power BI, Looker), modern data platforms and tools (Databricks, Snowflake, dbt)
    • Exceptional visualization and data story-telling skills using a variety of tools and frameworks (e.g. Tableau/Looker, ggplot2, shiny, Streamlit, Excel, PowerPoint, etc.) for a diverse audience
    • Effective planning, prioritizing, goal-setting skills
    • Able to demonstrate out of the box problem-solving skills
    • An exceptional orientation to detail, strong analytical skills and solid business acumen
    • Ability to work and thrive in an agile environment with cross-functional teams
    • Ability to work effectively under pressure and act as a self-starter
    • Excellent written and verbal communication skills
    • A strong sense of urgency with the proven ability to set and meet deadlines
    • Retail experience is an asset
    • An employer that values internal growth and promotion and is committed to succession planning for your future
    • Competitive pay program
    • Opportunities to additionally earn yearly bonus plan
    • Best in industry discounts and special purchase opportunities
    • A comprehensive flexible benefits package
    • Pension and Group RRSP Programs that grow with you
    • A modern, digitally advanced workplace
    • A leader committed to supporting the achievement of your personal career goals
    • A culture that is rich and diverse fostered through an internal Diversity Equity and Inclusion Council\\
    • Compensation for this role will be dependent on skills, experience, and seniority. The starting compensation range for this role is $95, 000 - $105,000 annually.
    We thank you for your interest in this opportunity.*Harry Rosen Inc.

    is committed to ensuring that our environment is barrier-free to all persons, employees, and clients alike, as we believe in equal opportunity and fostering a diverse and inclusive environment.

    In the spirit of this philosophy, we are committed to providing reasonable accommodations to all applicants with accommodation needs in the interview and assessment process.

    If you need assistance during the selection process, please contact us at with details.
    #J-18808-Ljbffr

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