Head Operations at Nikos Consulting
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Specialist - Data Scientist - Financial Services (6-10 yrs)
Scope of work:
- Act as a business partner to industry / practice leads, by providing data-driven insights and help run strategic market development initiatives
- Provide analysis for programs that include pipeline improvement initiatives, win/loss, account planning and campaign management.
- Applying machine learning models to solve real-world problems (i.e. with multiple stake holders) as part of their on-the-job duties
- Emphasis on analysis and model development, but experience deploying a model for an end-to-end app solution of some sort
- Implement advanced machine learning skills using python or R: clustering, regression, classification.
- Assess model performance; train multiple models; carry out hyperparameter tuning.
- Create familiarity with deep learning.
- Transform and clean data into an appropriate form for statistical analysis.
- Use inferential statistics to gain insight into problems and guide decision making.
- Work with domain experts to identify areas where predictive analytics can take us to the next level.
RESPONSIBILITIES Tasks, functions, deliverables Performed
Strategic Leadership
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from company databases to drive optimization and improvement of margin, winning opportunities and business strategies.
Stakeholder management
- Conducting regular update meetings with stakeholders.
- Identifying and managing issues and crisis proactively
- Partnering with stakeholders to provide business advice
- Managing conflicting stakeholder priorities
Production management
- Hands on - production of reports, scorecards other deliverables and analysis
- Juggle multiple requests, prioritize according to stakeholder needs
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Responsible for data accuracy, timeliness, and overall work set up and execute QA process and peer reviews.
- Act as a back-up of resources to ensure continuity in service delivery
Team development
- Build and maintain a positive team environment
- Coach, mentor and guide team members
QUALIFICATIONS Degrees, Certifications
- BS degree (or equivalent) required, full time MBA/Graduates in Maths/Economics/Statistics
- 6 - 8 years of post-education experience, with at least 4 years of relevant experience
- 4+ years of machine learning experience. Experience using predictive analytics in a business
Skills:
- Deep knowledge of a scripting or statistical programming language (python preferred).
- Basic SQL.
- Ability to efficiently work with very large datasets.
- Ability to deal with non-standard machine learning datasets (class-imbalances, sparse matrices, etc.)
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees etc.
TOP REQUIRED BEHAVIORS AND SKILLS
- Excellent communication in English (written and oral) and interpersonal skills. Ability to interact with international stakeholders
- Ability to think on their feet, work with limiting data
- Analytical skills; detects, analyzes and solves work problems
- Strong project management skills
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