Data Science Analyst Jobs

Job Type: Contract

Expectation: Remote

More specifically, you will:

• Communicate analytical findings by writing reports, creating presentations, and explaining research to business partners and senior management.
• 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.
• Provide consultative services to business partners and support scientific projects under the guidance of other members of the data science team.
• 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.

What are we looking for?

• Critical thinking, curiosity, strong work ethic, communication skills, and the ability to work well with others both within and outside the group is required.
• Ambitious, forward-thinking individuals who have a real passion for delivering a highly positive customer experience
• Leverages communication and interpersonal skills and works with subject matter experts.
• Experience managing large datasets, diving into data to discover patterns, using data visualization tools, and create robust models.
• Self-starter, well organized, accountable and a confident teammate willing to take ownership of responsibilities with a high level of positive energy and drive
• A dedicated work demeanor that exhibits flexibility, drive, and dependability

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.
• Academic and/or professional experience with developing and measuring performance of predictive models using statistical or machine learning techniques
• Experience with modeling techniques such as statistical analysis, time series forecasting, regression models, optimization, machine learning models, etc.
• Knowledge of data visualization software such as Tableau, MicroStrategy, Power BI, etc.

Preferred qualifications:

• MS Degree in Data Science, Data Analytics, Business Analytics, Statistics, Mathematics, Computer Science, or other data-intensive 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
• Experience in the hospitality/travel industry, Revenue Management, or demand forecasting
• Advanced knowledge of time series, modern machine learning, and deep learning models is desirable
• Three (3) years of professional and/or academic experience in Data Science, Data Analytics, Business Analytics Machine Learning, Statistics, or related fields

Work Requirements:

Due to client requirements, applicants must be willing and able to work on a W2 basis. For our W2 consultants, we offer a great benefits package that includes medical/dental/vision benefits, 401(k) with company matching, and life insurance.

About us:

Established in 1998, Ntelicor provides hard to find IT talent and flexible staffing and IT solutions to Fortune 50 and companies of all sizes. We dedicate ourselves to our clients' unique needs and rapidly and efficiently deploy our specialists and solutions. As our team continues to grow, we look forward to providing our clients and our people with extraordinary value and service for years to come.

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