Job description

Position Title: Data Science Analyst

Location: McLean, VA (Hybrid remote, need to be onsite 3 days a week)

Duration: 6 – 12 months

Job Description:

What will I be doing?

The Data Science Team serves as internal advanced analytics consultants to key functions across Hilton’s business, bringing predictive and prescriptive analytics through Data Science, Machine Learning (ML) and Artificial Intelligence (AI). You will be an ambassador bringing values of big data to fruition and serving as the main resource for delivery of sophisticated analytics models for Hilton’s groundbreaking data science initiatives.

More specifically, you will:

• Contribute to key cross functional initiatives by collaborating with business stakeholders and technical teams, gathering requirements and translating that into technical action items, and helping build out innovative data solutions using best practices.

• Perform practical data science analysis such has outlier detection, model drift, and model performance evaluation.

• Partner with other teams to access disparate data elements, working to understand the data being analyzed and identifying improvement opportunities.

• Collaborate with data scientists, engineers, architects to develop and deploy solutions that bring AI and advanced analytics to non-technical users.

• Communicate analytical findings by writing reports, creating presentations, and explaining research to business partners and senior management.

• Provide consultative services to business partners and support scientific projects under the guidance of other members of the data science team.

What are we looking for?

We seek problem-solvers who are passionate about data science and strive for opportunities to build or improve data science algorithms and models. We believe the success in this role will demonstrate itself through the following attributes and skills:

• Self-starter, well organized, accountable and a confident teammate willing to take ownership of responsibilities with a high level of positive energy and drive

• Ambitious, forward-thinking individuals who have a real passion for delivering a highly positive customer experience

• A dedicated work demeanor that exhibits flexibility, drive, and dependability

• Experience managing large datasets, diving into data to discover patterns, using data visualization tools, and create robust models.

• Leverages communication and interpersonal skills and works with subject matter experts.

• Critical thinking, curiosity, strong work ethic, communication skills, and the ability to work well with others both within and outside the group is required.

Ability to demonstrate the following minimum qualifications:

• BS Degree in Data Science, Data Analytics, Business Analytics, Statistics, Mathematics, Computer Science, or similar

• One (1) to three (3) years of professional and/or academic experience in Data Science, Data Analytics, Business Analytics, Machine Learning, Statistics, or related fields

• Experience with common languages and software such as Python, R, SQL, Microsoft Office, etc.

• Knowledge of data visualization software such as Tableau, MicroStrategy, Power BI, etc.

• Experience with modeling techniques such as statistical analysis, time series forecasting, regression models, optimization, machine learning models, etc.

• Academic and/or professional experience with developing and measuring performance of predictive models using statistical or machine learning techniques

Preferred qualifications:

• MS Degree in Data Science, Data Analytics, Business Analytics, Statistics, Mathematics, Computer Science, or other data-intensive fields

• Three (3) years of professional and/or academic experience in Data Science, Data Analytics, Business Analytics Machine Learning, Statistics, or related fields

• Proficient with common data science Python packages (including Pandas, SciPy, Scikit-learn etc.) and analytical techniques to collect, explore, and extract insights from structured and unstructured data.

• Understanding of the big-data or cloud related ecosystems such as Apache Spark, Amazon Sagemaker, Google Cloud Platform, or similar frameworks

• Advanced knowledge of time series, modern machine learning, and deep learning models is desirable

• Experience in the hospitality/travel industry, Revenue Management, or demand forecasting

Notes:

Candidate must have experience with R programming/Python and SQL.

Knowledge of Tableau/Microstrategy is nice to have

Soft skills: Good communication skills, presentation skills, ability to communicate with stake holders

Job Type: Contract

Salary: $40.18 - $45.95 per hour

Ability to commute/relocate:

• McLean, VA 22102: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

• This position is on W2, No C2C Please

Experience:

• Python: 3 years (Preferred)
• SQL: 3 years (Preferred)
• R Programming: 3 years (Preferred)
• Data Analyst OR Science: 4 years (Preferred)

Work Location: Hybrid remote in McLean, VA 22102

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