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    Data Scientist - Bentonville, United States - Seek

    Seek
    Seek Bentonville, United States

    2 weeks ago

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    Description

    Job Description

    Job Description

    What You'll Be Doing

    As a Data Scientist at Seek, you will play a vital role in developing impactful data applications that address industry-wide challenges, extending beyond internal business issues. Your work will involve exploring business and third-party data, developing predictive models, and applying machine learning techniques to uncover trends, patterns, and insights that can generate significant improvements to industry-wide practices. You will collaborate closely with stakeholders to build and launch new data apps, ensuring that the insights generated are accessible and actionable through our Insights Cloud App Library.

    Responsibilities

    • Construct and maintain data processing workflows, ensuring efficient mapping and transformation of client source data.
    • Perform data enrichment by sourcing additional datasets and integrating them with client data to enhance analytical depth and accuracy.
    • Develop complex SQL queries and Python scripts to transform and model data, tailoring configurations and fine-tuning parameters for optimal performance.
    • Analyze large (and sparse) datasets to extract meaningful patterns, trends, and insights using advanced statistical methods and machine learning algorithms.
    • Create and maintain interactive dashboards that provide intuitive visualizations of data insights, enabling users to derive clear, actionable information.
    • Translate business challenges into analytical frameworks, proposing and implementing data-driven solutions that have a tangible impact on our clients' decision-making processes.
    • Engage with stakeholders to gather requirements, feedback, and validation to iterate and improve the data applications continuously.

    Requirements

    • Bachelor's degree in data science, statistics, computer science, or a related field.
    • 3+ years of experience in data science, with a proven track record of developing and implementing machine learning models that have driven business impact.
    • 2+ years of experience with applying data science principles in Retail or CPG sales/supply chain
    • Expertise in Python programming language with one or more distributed execution frameworks
    • Strong understanding of big data technologies and cloud-based data warehousing solutions, preferably Snowflake
    • Strong understanding of machine learning algorithms, statistical modeling; experience with specialized frameworks (deep learning, optimization, Bayesian modeling, causal ML) is a plus
    • Experience with data visualization tools and techniques to effectively communicate findings to both technical and non-technical audiences.
    • Excellent problem-solving skills and the ability to work independently on complex data analysis tasks.
    • Strong communication skills, with the ability to articulate complex technical concepts clearly and concisely.

    What Sets Seek Apart

    • Seek values a flexible work environment, supporting work-life balance and families.
    • We encourage ownership of your projects and look for team members who can drive initiatives forward.
    • We strive for a culture where small experiments, iterative progress, and data-driven decision making are the norm.
    • You'll join a diverse team where different perspectives are valued and where your growth mindset is nurtured.

    Company Description

    We created Seek to make it easy for everyone to build, distribute, and consume data apps in the thriving cloud analytics economy. By eliminating the complexities of managing costly data technology stacks and breaking down analytics silos across industries, we make data apps accessible to everyone. \r
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    Insight Cloud is our infinitely scalable cloud platform and App Library where businesses can subscribe to purpose-built, turnkey data apps built by industry experts. Our technology provides developers with a streamlined framework to build and get their data apps in front of thousands of businesses.
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