Data Scientist Position Available In Orange, Florida

Data Scientist

Job Title:

Data Scientist

Location:

Orlando, FL

Duration:

6+ Months
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments.
Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. What you get to do in this role:
You will work with a data-centric group of analysts, data scientists, engineers, and capacity planners. The ideal candidate will have experience leveraging data mining technologies (SQL, Python, etc.), developing predictive models, and effective dashboards which provide a clear and transparent data driven story to multiple levels of the organization. The work will require strong partnerships across multiple departments developing operational metrics and providing insights which will help guide our Cloud and Infrastructure strategy.
Deliver effective Cloud Analytics and reporting across the Cloud business, leveraging Analytics and tools. Ensure metrics are focused on driving the achievement of goals and productivity for the Cloud business.
Collaborate daily with the capacity planning and operations team to develop predictive AI/ML-driven supply and demand models to forecast capacity demand precisely.
Work with stakeholders to understand detailed requirements and own your code from designing, implementing, testing, and delivering high-quality capacity planning and analytics solutions.
Generate insights and storylines through translation of metrics and a deep understanding of our internal processes, customers, and products
Identify and implements critical metrics vital to manage and monitor the performance of overall operations including: capacity, availability, budget, and inventory
Execute analytics projects to extract, manage, and analyze data from multiple applications, ensuring that deadlines are met.
Solve and present complex problems in an understandable way to stakeholders and business leaders.

Skills:

In order to qualify for and be successful in this role, you should have:
4+ years of working experience as a data scientist/analyst with 1+ of those years in designing and development data visualization and executive level dashboards.
An understanding of statistical regression, Bayesian forecasting models, econometric and causal data analytics,
POC development, time series data correlation, and pattern detection
Must be able to work in fast paced environment and be able to adapt to changing requirements.
An understanding of cloud architecture, underlying markets and key market drivers, and global megatrends and the value of data & analytics in acting on external disruption and market trends.
Proficient working with large structured and unstructured data sets
Knowledge of SQL, Python and R
Knowledge of Tableau, Tableau Prep, Power BI and other BI analytics tools.
Knowledge of ServiceNow Platform desired
Knowledge of Performance Analytics desired.
Communication skills

Education:

Bachelor’s in Computer Science, Data Science, Management Information Systems, Finance, Statistics, Analytics or any other related field. An equivalent of the same in working experience is also acceptable for the position.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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Dice Id:

90941473

Position Id:

8671572