Data Scientist Contract in Boston

Contract, Contract to Hire
Anywhere, Boston
Posted 4 weeks ago

Long-term Contract assignment with a Financial Services client in Boston, MA.

Responsibilities:

  • This position requires a solution-oriented candidate with a combination of deep business acumen, expert knowledge of statistics and algorithm development, and an analytical mindset.
  • The candidate must have the ability to work with diverse stakeholder groups to solve business problems and provide data solutions that are organized and simple to understand.
  • Become part of this unique opportunity to make history defining the evolution of cloud computing.
  • Understands and improves how data is sourced from different sources and ingested with the data integration solution
  • Ensures that enterprise architects are addressing all data requirements in their respective projects and solutions
  • 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.
  • Identify trends and explain anomalies using data science at scale
  • Develop data structures and pipelines as necessary to support analytical efforts
  • Work closely with business integration, performance engineering and product team to build forecast models
  • Participate in development/system/database operations as needed (DevOps, sysops, and DBA work)
  • Document parts of the current and future processing framework.
  • Build real-time dashboards with help of data visualization tools AWS Quicksight, Tableau or Kibana.
  • 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.
  • Perform ad hoc analysis as needed and assist managers of specific functions with analytical, valuation, or pricing projects.
  • Collaborate with teams planning or structuring transactions to assist in credit analysis and pricing.
  • Perform other duties as assigned

RequiredSkills:

  • Bachelor’s degree or higher in a quantitative field such as Decision Science, Data Science, Mathematics, Statistics, Computer Science, Operations Research, Engineering, Finance, or Economics.
  • 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.
  • 5+ years of experience using SQL, R, Python, MatLab, or similar data-mining and analytics applications.
  • Skilled in Python, experience with Pandas, Scikit-learn.
  • 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.
  • Experience with one or more of the DNN frameworks like TensorFlow, PyTorch, etc., Experience with Spark, SQL, Graph stores, or NoSQL stores.
  • 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.
  • Proven ability to give meaning, insight, and purpose to information to drive business decisions.
  • Capable of managing change through typical strategy development lifecycle stages such as Ideation, Solutioning, Execution, and Go-To Market.
  • Proficient in Excel, Word, and PowerPoint.
  • Excellent communication and presentation skills, problem-solving, time-management, collaboration, and interpersonal skills.
  • Proven ability to simply explain complex information to both technical and non-technical audiences.
  • Ability to work autonomously as well as in a team setting.
  • Aptitude and willingness to roll-up the sleeves and get involved in the details.
  • Highly curious with the desire to go deep beneath the surface to solve problems.
  • Must have good business judgment with demonstrated ability to think creatively and strategically.
  • Data science certification or AWS machine learning certification is a plus
  • Ability to work in an office environment and to travel to all District offices as needed.
  • Ability to perform office duties such as using a computer keyboard.
  • Work involves sitting most of the time but may involve going to other offices and meeting rooms.
  • Ability to work in demanding situations and handle multiple priorities
  • Minor lifting and carrying (less than 5 pounds).

Job Features

Job CategoryData Science, Software Engineer

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