Manager- Data Scientist
Finance Analytics Posted: 18-Feb-2022
Atlanta, Georgia, United States
Chicago, Illinois, United States
Dallas, Texas, United States
Houston, Texas, United States
Miami, Florida, United States
San Antonio, Texas, United States
Work you'll do
- Partner closely with stakeholders to identify high-impact applications of data to solve meaningful business problems
- Identify, mine, and analyze med and large size datasets to unearth insights that drive new business value for clients
- Develop robust statistical and machine learning models and implement processes to evaluate, automate and improve model performance
- Lead efforts with various functions to test, deploy and iterate on data science solutions
- Build, execute, and evaluate A/B tests
- Manages the progress of projects by tracking activity, resolving issues, and recommending actions
- Provides senior management and project management with regular updates on deliverable timeline and project status
- Analyzes data and collaborates with leadership and technical teams to identify potential insights to drive decision making
- Responds proactively to both business and project issues and escalates appropriately
- Train other data scientists in area of expertise
- Provide feedback to improve the quality of data collection to ensure adequacy, accuracy and legitimacy of data (e.g. this could involve cross-checking of different sources and validating the correlation between them)
- Distills qualitative and quantitative insight to communicate compelling stories.
- Collaborates with Functional and Technical teams to gain understanding of business problems, technical solutions to develop data science solutions.
- Assists in the documentation of requirements, use cases, user stories required to ensure data science solutions are developed and tested to meet fit intended purpose, meet business needs and are operationally sustainable.
What you'll be part of - our Deloitte Global Culture:
Who you'll work with:
Global Finance provides the most cutting-edge and insightful research and analysis of the financial health of the entire Deloitte organization around the world. We advise, guide, and monitor global initiatives in five major areas: tax, member-firm reporting, finance and accounting, strategic projects, and financial analysis. |
Qualifications:
- Experience working with SQL to manipulate medium/large data sets from multiple sources
- Ability to process complex data sets through scripting language (such as R, Python) or other method
- Ability to perform exploratory data analysis to discover interesting trends and relationships
- Experience applying statistical modeling, machine learning, NLP, and other quantitative techniques to solve business problems
- Possess understanding of and ability to communicate statistics to experts and non-experts
- Creative thinker who has proven ability to innovate through data exploration and application of solutions
- Ability to thrive in an environment that requires flexibility and multi-tasking
- Ability to take initiative and work with high level of independence
- Strong technical and remote collaboration skills are a must
- Excellent organization, analytical, and planning skills
- Experience in dealing with multiple projects and cross-functional teams and ability to coordinate across teams in a large matrix organization environment
- Strong relationship building and consulting skills
- Fosters a climate conducive to establishing positive working relationships with clients and cross functional team members
- Fluency in one or more scripting language (such as R, Python, Octave)
- Experience using data visualization tools (such as Power BI, Tableau, ggplot2, matplotlib, D3.js)
- Understanding of concepts, terminology, and measurement issues related to web and mobile app traffic (optional)
- Familiarity with SharePoint (optional)
- Familiarity with Hadoop, HBase, Hive or MapReduce or Spark (optional)
- Minimum of 5+ years of relevant experience with focus on advanced analytics and predictive modelling.
- Masters degree in a quantitative or data-related field (Statistics, Computer Science, Data Analytics, etc.)