What are the responsibilities and job description for the Data Science Lead (SME) position at SES?
Job Details
Top 5 Technical Skills:
- Data Science as a SME
- Sagemaker
- AWS Services
- Python
- SQL
- Glue, EMR, Redshift
Top 3 Soft Skills:
- Strong Communication skills
- Abilitry to work with Senior Leadereship
- Hands On to guide and mentor walk throughs etc
Complete List of Technical Skills:
- Sagemaker
- EMR
- Glue
- Redshift
- Python
- SQL
Qualifications
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experiences:
- 2 years in relevant mortgage and/or finance industry (business process optimization or real estate management functions preferred)
- Bachelors degree in Business Analytics, Computer Science, Data Science, Engineering Finance, Math, Physics, Statistics, or a related field
- Programming including coding, debugging, and using relevant programming languages (SQL, R including R Shiny and Markdown)
- Skilled in the process of analyzing data to identify trends or relationships to inform conclusions about the data.
- Skilled at analytical storytelling, such as graphical representation of information in the form of charts, diagrams, pictures, and dashboards with programs and tools such as Tableau, R or Power BI. This also includes gathering accurate information and listening to explain concepts and answer critical questions.
- Expertise in building and using statistical methods, including testing hypotheses, sampling, using experimental design, running more traditional linear and logistic regressions, developing ML models, and implementing modeling applications.
- Skilled in the drafting of technical documentation to support both econometric analysis and system implementation.
- Communication including communicating in writing or verbally and planning and distributing communications, etc.
- Experience defining and managing changes to documents, code, computer programs, and other files to enable collaboration and ensure teams are working from the latest version, leveraging tools such as GitHub and Bitbucket.
Desired Experiences:
- Masters in Data Science, Economics, Math, Statistics, or a related field
- Partnering with people with different functional expertise respectfully and cooperatively to work toward a common goal.
- Ability to frame ideas as systems and analyzing the inputs, outputs, and process.
- The group of skills related to Business Insight including advising, designing business models, interpreting customer and market insights, forecasting, benchmarking, etc.
- The group of skills related to Influencing, including negotiating, persuading others, facilitating meetings, and resolving conflict.
- Adept at managing project plans, resources, and people to ensure successful project completion, leveraging tools such as JIRA.
- Skilled with operating on cloud Amazon Web Services (AWS) infrastructure, and other AWS offerings, development, and networking platforms.
- Experience with teaching and/or advising less seasoned professionals in modeling techniques and approaches.
Please Reach out to Zach Lutman at zlutman at sesc.com to apply
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