- Use data analytics and advanced statistics to guide investment decisions and boost business growth.
- Work with various teams to pinpoint opportunities for utilizing data to improve investment strategies.
- Establish and maintain a solid data infrastructure to support data-informed decision-making.
- Stay informed on industry trends in data science and investments, integrating new methods and tools as necessary.
- Lead the creation and execution of advanced data modeling and predictive analytics for supporting investment strategies.
- Offer strategic advice to senior management on investment opportunities and risks based on data analysis.
- Supervise the development and upkeep of data dashboards and reports to monitor investment performance and detect areas for enhancement.
- Cooperate with other departments to ensure coherence and integration of data-driven strategies throughout the organization.
- Primary Skills: Proficiency in data science, statistical modeling, and time series analysis of financial markets data, Fixed Income Assets, and Investment Banking.
- Secondary Skills: Experience in Gen AI, Language Model, etc.
- Bachelor's degree in computer science or related field.
- Skills commonly acquired through an advanced degree (Statistics, Mathematics, Data Science, etc.)
- Strong grasp of the mathematics behind Machine Learning.
- Ability to convey complex technical details clearly to various audiences.
- At least 14 years of experience in data science designing and implementing statistical models, with minimum 6 years in Financial/Investment/Asset Management/Fixed Income.
- Experience in data science, statistical modeling, and time series analysis of financial markets data, Fixed Income Assets, and/or Investment Banking.
- Experience with Gen AI, Language Model, etc.
- Previous roles in asset management firms focused on the front office.
- Advanced proficiency in python and/or R.
- Knowledge of various modeling and DS lifecycle activities, particularly in Python, and ability to communicate effectively with technical and non-technical leaders.
- Understanding of Statistical modeling, Machine Learning, Deep Learning, Natural Language Processing techniques, and algorithms.
- Solid coding skills in Python, Pyspark, Keras/tensorflow.
- Experience with SQL & NoSQL databases.
- Work experience with cloud platforms (AWS, Azure, IBM, etc.)
- Collaboration with data engineers on data sourcing, analysis, and feature engineering, as well as working with fellow data scientists on Machine Learning model development and deployment.
- Creation of data pipelines for app engineering deployment across platforms and environments, and working with ML pipelines.
- Demonstrated analytical and problem-solving skills, particularly in a big data environment.
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Senior Data Scientist - Boston, United States - TechIntelli Solutions Inc
Description
Title: Senior Data Scientist (Subject Matter Expert)
Location: Boston, MA initially 2 days on-site with potential extension to full week
Job Type: Contract
Contract Type: W2 or C2C
Pay Rate: Compensation negotiable
Visa: H1B
Job Responsibilities:
Mandatory Skills:
Required Education:
Required Experience: