Jobs
>
Toronto

    data scientistdata scientist - Toronto, ON, Canada - T-Net British Columbia

    Default job background
    Full time
    Description
    Toronto / Remote - Canada

    We are currently looking for a new Intermediate Data Scientist, to join our Data Insights team and work closely with Clio's products and business teams.

    You will collaborate with everyone from product managers to business leaders and developers, and will guide rapid iterations of hypothesis, prioritization, experimentation / analysis and strategy setting - extract valuable insights, enhance our decision-making processes and contribute to the development of innovative financial products.

    You will be working alongside a cross-functional team of data scientists, embedded within Clio's products and business teams, developing AI and ML solutions to understand Clio's customers, to bring them cutting-edge AI and GenAI products, and to recommend proactive and efficient ways to serve them better.

    You will play an integral role, enabling business leaders across Clio make rigorous data-driven decisions. You will help our business grow, help our customers succeed, and continuously improve the way we operate.
    We aren't looking for just any traditional Data Scientist to join this team.

    We're looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and lives and breathes our values.

    Always looking to innovate with data and explore open-ended questions;
    Agile and responsive, and comfortable with constant change.

    You will help lay the foundation for this work by ensuring good data quality, data governance, and analytical practices.

    And you will also be part of our larger Data & AI team for learning, career development, and company-wide data initiatives.

    Apply rigorous statistical analysis and data mining techniques to evaluate impact of different product features and other business initiatives.

    Employ statistical analysis, machine learning, GenAI, LLMs, etc.

    Support scientific thinking in product and business teams by enabling discussions with data, disseminating best practices, and leading by example.

    Effectively communicate complex technical concepts and findings to both technical and non-technical audiences.
    3+ years applied experience in data science.
    ~ The ability to translate business requirements into data science solutions.
    ~ Experience in developing analysis in Python and experience with relevant ML libraries and frameworks (e.g., Ability to write structured SQL queries for answering questions and manipulating data.

    Experience in analytics working with product and user behavior data, e.g., retention or churn analysis
    Experience with building ML/AI pipelines and relevant tools (e.g., Experience with large data sets and user behavior data.

    We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.

    The expected salary range* for similar roles within Clio is: $106,500 - $144,200 CAD
    Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
    Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office min. Flexible time off policy, with an encouraged 20 days off per year.

    The top portion of the salary band is reserved for employees who demonstrate sustained high performance and impact at Clio.

    Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility
    We are dedicated to diversity, equity and inclusion .

    We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from.

    Post your resume on T-Net and let employers come to you .
    Make "Searchable" or "Confidential" (optional) and BC Tech and IT employers can search our database and contact you.
    Registration on or use of this website constitutes acceptance of our Terms of Use .
    #


  • Opencloudco Toronto, ON, Canada Full time

    Collect, clean, and preprocess large and complex datasets from various sources to perform data analysis and modeling. Develop and implement statistical models and machine learning algorithms to derive insights and make predictions based on data. Use data visualization tools to pr ...


  • Propel Holdings Inc. Ontario, Canada Full time

    Propel (TSX: PRL) is the fintech company building a new world of financial opportunity by facilitating access to credit for consumers underserved by traditional financial institutions. Through its AI-driven platform, Propel evaluates customers in a more comprehensive way than tra ...


  • Stripe Toronto, ON, Canada Full time

    Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our Data Science team partners deeply with teams across Stripe to ensure that our users, our pro ...


  • Exchange Solutions Toronto, ON, Canada Full time

    As a Data Scientist within Exchange Solutions, you will be at the forefront of developing cutting-edge machine learning and generative AI technologies that are and will continue to drive force behind our innovative solutions, that redefine how our clients engage their customers. ...


  • Exchange Solutions Toronto, ON, Canada Full time

    As a Data Scientist within Exchange Solutions, you will be at the forefront of developing cutting-edge machine learning and generative AI technologies that are and will continue to drive force behind our innovative solutions, that redefine how our clients engage their customers. ...


  • Delpath Toronto, ON, Canada Full time

    Data Scientist Location: Toronto · Hybrid- In Office as and when needed (else Remote) · Contract Duration- 6 months to start with - extension is highly possible · Preferred Qualifications: · Bachelors or advanced degree in a quantitative field such as mathematics, engineering, ...


  • Delpath Toronto, ON, Canada Full time

    Data Scientist · Location: Toronto · Hybrid- In Office as and when needed (else Remote) · Contract Duration- 6 months to start with - extension is highly possible · Preferred Qualifications: · Bachelor's or advanced degree in a quantitative field such as mathematics, engineer ...


  • Delpath Toronto, ON, Canada Full time

    Data Scientist Location: TorontoHybrid- In Office as and when needed (else Remote)Contract Duration- 6 months to start with - extension is highly possiblePreferred Qualifications:Bachelor's or advanced degree in a quantitative field such as mathematics, engineering, computer scie ...