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Data Scientist designing historically significant Financials project
Boston, MAData Scientist, Contracting Consultants (~18 month start+extensions)
COVID Remote start + Boston Seaport, MA based operation.
COVID Remote start + Boston Seaport, MA based operation.
Our top Security-Minded Team has an amazing opportunity to become part of a unique project that will make a history-defining the evolution of cloud computing.
This position requires a solution-oriented Data Science Consultant who has a combination of deep business acumen, expert knowledge of statistics and algorithm development, and an analytical mindset.
Technical -
Technical -
- Professional experience using SQL, R, Python, MatLab, or similar data-mining and analytics applications. Skilled in Python, experience with Pandas, Scikit-learn.
- Experience with one or more of the DNN frameworks like TensorFlow, PyTorch, etc.,
- Experience with Spark, SQL, Graph stores, or NoSQL stores.
All roles are for US Citizens or maybe Green Card Holders and have to be W2, no C2C. No visas.
All role are based in Boston, but remote for now. This may change to fully remote but we are focused on onsite capable Consultants due to the security focused nature of the environment.
Key Responsibilities :
All role are based in Boston, but remote for now. This may change to fully remote but we are focused on onsite capable Consultants due to the security focused nature of the environment.
Key Responsibilities :
- Perform data manipulation, business analysis, and quantitative modeling to research and design automated solutions
- Closely collaborate with agile delivery , business integration teams & product owners to build data sets based on feature delivery
- Design test cases for systems used for a variety of analytical, transaction processing to ensure the business needs are met and analytics are correctly implemented.
- Analyze application logs, build logs, automation execution logs and defects data to build patterns and predictions using appropriate ML models
- Provide data analytical expertise and guidance to key stakeholders.
- Develop data structures and pipelines as necessary to support analytical efforts
- Participate in development/system/database operations as needed (DevOps, sysops, and DBA work)
- Use one or more analytical tools from a suite of mathematical/application tools to perform appropriate analysis on specified product, transaction that has multiple variables affecting potential outcomes.
- Bachelor’s or advanced degree in a quantitative field such as Decision Science, Data Science, Mathematics, Statistics, Computer Science, Operations Research, Engineering, Finance, or Economics.
- Professional experience using SQL, R, Python, MatLab, or similar data-mining and analytics applications.
- Skilled in Python, experience with Pandas, Scikit-learn.
- Experience with one or more of the DNN frameworks like TensorFlow, PyTorch, etc.,
- Experience with Spark, SQL, Graph stores, or NoSQL stores.
- Experience in machine learning techniques, such as Linear and Logistic Regression, Bayesian models, Decision Trees, Random Forests, Neural Networks, Clustering, Time Series Analysis, Forecasting, Survival / Duration Analysis, or similar.
- Experience with agile development practices and Git version control.
Plus side experience -
- 5+ years of experience in Financial Services, specifically within cash management, payments, small business, Commercial, or Consumer lending.
- 5+ years of experience solving business problems leveraging data and analytics.
- Domain expertise in financial services, banking, real-time gross settlement and payment related systems Capable of completing descriptive, diagnostic, exploratory, predictive, and prescriptive analytical exercises.