Senior Data Scientist

2 weeks ago

Boston, United States TechIntelli Solutions Inc Full time
Title: Senior Data Scientist (Subject Matter Expert) Location: Boston, MA starting with 2 days working from Office and likely to get extended for all 5 days. Job Type: Contract Contract Type: W2 or C2C Pay rate: Open to discuss.
Visa: H1B, Senior Data Scientist with Subject Matter Expert with 14+ years of experience. Please don't apply Data Engineer/Data Analyst candidates. Don't apply less than 14+ years experience.

Job Responsibilities:

  • Utilize data analytics and advanced statistical techniques to inform investment decision-making and drive business growth.
  • Collaborate with cross-functional teams to identify opportunities for leveraging data to enhance investment strategies.
  • Develop and maintain a robust data infrastructure to support data-driven decision-making.
  • Stay updated on industry trends and best practices in data science and investments, and implement new techniques and tools as needed.
  • Lead the development and implementation of advanced data modeling and predictive analytics to support investment strategies.
  • Provide strategic guidance and recommendations to senior leadership on investment opportunities and risks based on data analysis.
  • Oversee the creation and maintenance of data dashboards and reports to track investment performance and identify areas for improvement.
  • Collaborate with other departments to ensure alignment and integration of data-driven strategies across the organization.

Mandatory Skills:

  • Primary Skills : Has experience with data science, statistical modeling and time series analysis of financial markets data, Fixed Income Assets, Investment Banking.
  • Secondary Skills : Has experience in Gen AI , Language Model etc.

Required education:

  • Bachelor s degree in computer science or a related field.
  • Competencies typically acquired through an advanced degree (in Statistics, Mathematics, Data Science or other relevant field of study)
  • Proficiency in the mathematics underlying Machine Learning
  • Ability to present complex technical information in a clear and concise manner to a variety of audiences.

Required Experience:

  • Minimum 14+ years of experience in data science designing and deploying statistical modelling with at least 6 years of hands-on experience in Financial/Investment / Asset Management / Fixed Income
  • Has experience with data science, statistical modeling and time series analysis of financial markets data, Fixed Income Assets and/or Investment Banking.
  • Has experience in Gen AI , Language Model etc.
  • Worked for asset management firms in roles aligned to the front office.
  • Has advanced knowledge of python and/or R
  • Asset Allocation, Research, quat engineering
  • Broad experience with hands-on modelling and DS lifecycle activities, particularly in Python, and ability to communicate at a high level with DS and non-technical leaders
  • Knowledge of graphical packages such as plotly or gg plot
  • Excellent understanding of Statistical modeling, Machine Learning (Supervised, Unsupervised, Recommendation engines, Optimization etc.) Deep Learning (RNN, CNN, LSTM, Auto encoders, GANS etc.), Natural Language Processing techniques and algorithms.
  • Strong coding experience in Python, Pyspark, Keras/tensorflow
  • Experience with SQL & at least one NoSQL databases.
  • Experience of working on any of cloud platform (AWS, Azure, IBM etc.)
  • Work closely with data engineers to source, analyze and engineer features, collaborate with fellow data scientists to develop, test and deploy Machine Learning models
  • Exposure to creation of data pipelines to engineer apps deployment (CI/CD) across platforms and environments and working with ML pipelines.
  • Demonstrate analytical and problem-solving skills, particularly those that apply to the big data environment.
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