Lead Data Scientist

Key Skills: Data Science Exp, Machin Learning, Artificial Intelligence Algorithms, Python, PySpark, SQL, Cloud Azure/Snowflake, Databricks, PowerBI/ Tableau, Team Handling, Investment Management Domain

Profile Summary
As Lead Scientist of Distribution and Sales Enablement Group, you will be responsible to

• Deliver innovative customer-focused analytical models to support Client's Investment Management business in engaging our clients and business.
• Apply machine-learning algorithms and statistical techniques to Client hidden patterns in data, which can be used to predict the likelihood of future events.
• Create and maintain the analytics ecosystem for integrating data and building and deploying predictive models.
• Understand business needs, translate requirements to technical specification and provide technical guidance to team in India.

Job Responsibility

• Deliver insights and solutions to data science business problems by building predictive models and advanced analytics using a combination of structured and unstructured data sources and applying a variety of data science techniques.
• Understand business needs to ensure that the data and analysis are meaningful and accurate.
• Develop and deploy predictive models and advanced analytics to solve business problems.
• Optimize, validate, integrate, and operationalize the models in client ecosystem for end-users.
• Deliver effective communication and presentations to business partners and technical audiences, utilizing data visualizations to present technical results.
• Successfully work on open-ended tasks, anticipating and identifying problems and developing alternative solutions, seeking guidance when necessary
• Assist in the evaluation of data science technologies, frameworks, and data sources.
• Perform as an Individual contributor as well as mentor, and train resources when given a team.
• Provide technical direction and coaching to developers in development activities (2-4 people).
• Recommend design alternatives, consider benefits and limitations to users based on in-depth understanding of business needs; code very moderate/complex or high-risk components.
• Periodic reviews with Client's Investment Management team on operations, progress and overall direction
• Plan and assist with professional development and technical training for the offshore team

Requirements and Qualifications

• 5+ years of experience developing and delivering data science solutions.
• Expertise in core data science tools and technologies selecting and applying data science/machine learning/artificial intelligence algorithms and methods (e.g., decision trees, regression, neural networks, clustering, and time series analyses)
• Proficient in SQL, Python, Pyspark
• Data visualization: Power BI or Tableau skills preferred.
• Experience with Cloud Technologies – Azure (preferred), Snowflake, Databricks relational databases
• Strong communication, documentation skills & ability to interact with client stakeholders.
• Solid business acumen with the ability to quickly learn about Client's Investment Management businesses.
• Explore innovative technology trends and apply them in appropriate scenarios to deliver value to Team, Customer and Organization
• Assist Product Owner for the successful execution of Analytical model (estimation, dependencies, reviews, customer satisfaction, etc.)
• Good understanding on agile methodology
• Ability to challenge current methodologies/approaches and develop more efficient and effective solutions.
• Proficient in MS Project, Outlook, Word, Excel, SharePoint, Visio, and PowerPoint

Education & Certifications

• Engineering Graduate or Advanced degree (master's or Ph.D.) in data science or another quantitative discipline such as statistics, computer science, applied mathematics, or engineering, or equivalent experience.
• Knowledge of Investment Management domain or Financial Services.