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    Data Scientist II - Indiana, United States - Midwest Tape

    Midwest Tape
    Midwest Tape Indiana, United States

    3 weeks ago

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    Description
    Salary Range:

    $100,000.00 To 120,000.00 Annually
    Midwest Tape

    |

    hoopla
    Remote in the following states:

    Ohio, Michigan, Illinois, Indiana, Tennessee, Texas, Montana, Nevada, Massachusetts, Rhode Island, Florida, Colorado.
    Must be flexible to travel to our the headquarters in Holland, Ohio 2-3 times a year.

    For over 30 years, Midwest Tape has served libraries and their patrons with unparalleled access to the best content available in the media world.

    Our digital offering, hoopla Digital, combines the media and library expertise of Midwest Tape with the latest in web and mobile technology, delivering an all-in-one experience to the library world.

    As hoopla continues to grow on a global scale, we are expanding our team.
    At Midwest Tape, we know our people are the reason for our success. We value our employees and believe in empowering them to help them thrive. We offer competitive pay and benefits, a healthy work/life balance, and appreciation for a job well done.

    Position Summary:

    The Data Scientist II

    will help lead our AI/ML team to even greater success.

    Essential roles include creating key innovations and finding opportunities in the company and external data to support product optimization and augment our applications.

    The Data Scientist II will take ownership of key projects and will be responsible and accountable for the quality and coding of software components that make up complex systems enabling our digital streaming application, hoopla Digital, to perform better to meet and exceed customer needs.

    We have great ideas where our technology can go next, and we need to add experienced data scientists with leadership qualities and technical imagination to make that happen.

    This role requires deep experience in software engineering practices and ongoing familiarity with emerging technologies.

    Data Scientists will work independently and under the direction of a Lead Data Scientist, architects, development leads and managers while contributing to multi-layered solution architectures that comprehend and specify business, application, data, and infrastructure designs.

    The Data Scientist II

    is responsible for writing technical stories, technical specifications, coding, peer reviewing and coaching, explaining technical problems to

    non-technical

    audiences, and designing solutions while maintaining and improving existing processes on existing applications. Another key distinctive of the successful Data Scientist II is mentoring and developing junior data scientists and engineers.

    Success includes efficient and timely communication to technical and non-technical team members, proactive coordination, a love of new technologies, a strong desire to learn, a curious nature, and a passion for removing inefficiencies.

    Primary Duties and Responsibilities:

    Develop AI/ML models to support company products and processes
    Engage in Team Building, Leadership, and Management
    Assist the Lead Data Scientist with setting the direction of the team
    Collaborate with and manage software developers to integrate innovative AI/ML technology into products
    Research, design, and implement AI/ML development best practices
    Build prototypes of creative and interactive ideas
    Identifying areas for modification in existing programs and subsequently developing these modifications
    Determining operational practicality
    Deploy software tools, processes, and metrics
    Work with other engineers to share knowledge of tools and applications

    Skills:

    Knowledge of general AI/ML landscape including architecture, trends, & emerging technologies
    Experience creating and using advanced machine learning algorithms and statistics:

    Bayesian methods, regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
    Knowledge of large language models extending to creation, tuning, customization, and deployment at scale
    Competence in mathematics including linear algebra, multivariate calculus, simulation, and set theory
    Experience with enterprise-level software engineering
    Knowledgeable of core CS concepts such as common data structures and algorithms, profiling/optimization
    Experience consuming and interacting with web APIs experience using git, including branching, merging, etc.
    Experience with both SQL and NoSQL databases
    Experience with JIRA, Confluence, and Microsoft Office applications
    Big Data and related knowledge/experience (Cassandra, Apache Storm, Spark, Elastic)
    Strong interpersonal, written, and verbal communication skills
    Demonstrated technical and business leadership aptitude

    Required Education Requirements:

    M.S., in physics, mathematics, electrical engineering, computer science, operations research, or close equivalent

    Required Experience:

    Minimum 3-5 years of full-time experience manipulating data sets and building statistical models
    Minimum 3-5 years of full-time experience with Python
    Able to work in an agile environment with a focus on continuous integration
    Physical Requirements / Work Environment

    :


    The work environment characteristics and physical demands described here are representative of those an employee encounters while performing the essential functions of this job.

    Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
    Ability to regularly sit for extended periods of time.
    Must be physically present for meetings, presentations, and training.
    401k + match
    Profit sharing
    Paid vacation and personal time
    10 paid holidays
    Company performance bonus
    Holiday bonus

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

    #J-18808-Ljbffr

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