At Towne Park, it’s more than a job, you can make an impact.

A career with us is rewarding in more ways than one.

As a hospitality services company, our commitment is to create smiles by delivering exceptional experiences. When you work with us, you have an opportunity to impact the millions of patients, visitors and guests we proudly serve. Whether providing compassionate service that eases the anxiety of a patient and their family, creating a memorable experience for a guest in a new city, or helping a colleague, every day is a new opportunity to brighten someone else’s day and make an impact. When we see a customer, a client or one of our own team members smile, we know we made an impact. It’s why we do what we do.

Towne Park is a place where you can make a difference and create smiles every day.

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Job Details

Compensation: Towne Park is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate’s job-related skills, experience, education or training, and location. The annual base pay range for this position is $110,000-$130,000

Benefits: Employees are eligible to enroll in medical, dental, and vision insurance, accident insurance, critical illness insurance, hospital indemnity insurance, and telemedicine benefits. Employees are provided company-paid basic life and AD&D insurance as well as short-term and long-term disability. Employees are also able to enroll in the company’s 401k retirement savings plan.

Paid Time Off: Employees accrue 0.0654 hours of PTO per hour worked up to a maximum of 136 hours per calendar year. Employees receive 6 paid holidays throughout the calendar year and employees accrue up to a maximum of 4 paid floating holidays per calendar year.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

SUMMARY

The Data Scientist applies statistical theory and methods to collect, interpret, and summarize data, make predictions, and recommend actions based on data.

ESSENTIAL FUNCTIONS

Reasonable accommodations may be made to enable individuals with disabilities to perform all functions.

• Leadership mindset as a full stack data scientist who leads development, optimization, and scalability of ML/AI models for the production environment.
• Engage with various business and product stakeholders to bring vision on applying a broad knowledge of ML/AI capabilities to identify growth areas and new and emerging opportunities.
• Bring synergy between ML/AI and services by studying organization goals, strategies, practices, and user projects. Recommends strategies by evaluating organization outcomes, identifying problems, evaluating trends, and anticipating requirements.
• Lead the evolvement of a team of Data Scientists focused on powering ML/AI solutions within the scope of associate work prioritization, workforce planning, and retention strategies.
• Partner closely with Data Science Management, Business Leaders, and ML engineering leaders to inform, drive, and accelerate innovations in discovery experiences via Insights, frameworks, causal inference solutions, and machine learning prototypes.
• Execute the entire life cycle of projects through project planning, data collection, model prototyping, and deployment, with responsibilities encompassing stakeholder management and communication with cross-functional partners.
• Provide leadership guidelines for adherence to MLOps framework to create, build, and deploy data science algorithms continuously test and monitor drifts.
• Present and share highly complex information related to areas of expertise to executive-level stakeholders. Interacts with senior executives to keep abreast of objectives. Interacts with peers to interpret information and improve cross-functional processes and programs. Builds and enhances key internal and external contacts.

QUALIFICATIONS

Education:

• Master's degree in computer science, statistics, applied math, or related field required.

Work Experience:

• 5+ years’ experience leading teams of data scientists working on Applied ML/AI and Operations Research from conceptualization to productization and measurement of practical use cases.
• 5+ years’ experience developing large-scale ML/AI solutions and Optimization.
• 5+ years’ experience working in cross-function collaboration environments influencing stakeholders from business, product, and engineering leadership to adopt AI vision in resolving complex problems in retail or other domains, which engage end-users, customers, and associates to drive business.

Knowledge & Skills:

• Skilled in Programming (Python) and Large-scale training using data structures and algorithms.
• Experience with cloud environments, including Azure, Google Cloud, etc.
• Solid MLOps practices, including sound design documentation, unit testing, integration testing, and source code control (git).
• Experienced with agile methodologies using project planning and tracking management tools e.g., JIRA.

WORKING CONDITIONS & PHYSICAL DEMANDS

The working conditions and physical demands described here represent those that an associate must meet to perform the essential functions of this job successfully. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Physical Requirements

While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to sit or stand for extended periods of time and may be required to run; walk; handle or feel objects, tools or controls; reach with hands and arms; climb stairs; balance; stoop, kneel, crouch or crawl. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.

Lifting Requirements

Exerting up to 50 pounds of force occasionally, and/or up to 25 pounds of force frequently, and/or greater than 10 pounds of force

constantly to move objects.

Working Environment

The majority of work will be performed in climate-controlled environment but may be exposed to inclement weather and varying degrees of temperatures on occasion.

Travel

Travel of up to 20% may be required.