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PLEASE NOTE THE FOLLOWING:
*Client is unable to sponsor at this time.*
**No CORP/C2C/3rd Party vendors allowed as this is a Permanent role.**
Job Duties:
- Collect, synthesize, manipulate and interpret large data sets, and data structures into actionable solutions
- Develop analytical approaches to deliver analytic insights and solutions through in-depth data exploration and feature engineering that drive positive business outcomes
- Partner with cross-functional teams to identify opportunities, develop ideas and execute design plans for advanced analytics; collaborating with business partners such as but not limited to product teams, data stewards, data governance and IT
- Research and test new techniques related to modeling, feature extraction, data processing and product improvements
- Perform feasibility analyses to demonstrate the value of different hypotheses, data sources and models. Present results and recommendations to internal customers and senior management
- Oversee the design and development of data science projects across the organization to ensure adherence to best practices, providing Data Analysts/Junior Data Scientists with practical guidance, and monitoring the performance as needed.
- Regularly supervise and update predictive models to ensure they remain relevant and effective in dynamic business environments.
- Evaluate model performance and refining algorithms to improve accuracy, reliability, and scalability and designing and implementing A/B tests or other experiments to validate model predictions and optimize business processes.
Required Minimum Qualifications:
- Master's Degree in Computer Science, Statistics, Mathematics, Economics or other quantitative discipline
- 6+ years' experience with statistical or machine learning experience in marketing, credit risk, or financial, analytics domains.
- 6+ years' experience with SQL as well as programming with Python
- Advanced competence in machine learning principles and techniques. Practical knowledge of advanced statistical techniques, predictive modeling, time series forecasting, and techniques such as random forest, GBM, neural networks, SVMs, ensemble models and text mining.
- Strong consultative acumen with the ability to understand complex analytical solutions and present them to technical and non-technical audiences
Preferred Qualifications:
- Ph.D. in Computer Science, Statistics, Math or Analytics
- Experience working with natural language processing
- Advanced knowledge of machine learning & feature engineering techniques
- Working knowledge of Generative AI and experience on large language models
- Prior deep experience building financial/credit risk and other models within the Financial Services Industry
Employee benefits include:
- Medical, Dental and Vision Coverage
- Basic Life and Accidental Death &Dismemberment Insurance, Long Term Disability, Employee Assistance Program and MyAdvocate
- Supplemental Insurance or Voluntary Insurance
- 401(k) Plan with Company Match
- Vacation, Holidays and Personal Time Off
- Paid Maternity and Paternity Leave
- Pre-tax Health and Dependent Care Spending Accounts
- Benefit Choice Program
- Health Reward Dollars
- Discount on Gym Reimbursement and Identity Theft Programs
- Legal Services
Vaco values a diverse workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.
Vaco is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law.
Vaco LLC and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco LLC and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact .
Vaco also wants all applicants to know their rights that workplace discrimination is illegal.
By submitting to this position, you agree that you will be giving Vaco the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal.
Vaco LLC and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco") respects your privacy and are committed to providing transparent notice of our policies.
- California residents may access Vaco's HR Notice at Collection for California Applicants and Employees .
- Virginia residents may access our state specific policies .
- Residents of all other states may access our policies .
- Canadian residents may access our policies in English and in French .
- Residents of countries governed by GDPR may access our policies .
Determining compensation for this role (and others) at Vaco depends upon a wide array of factors including but not limited to:
- the individual's skill sets, experience and training;
- licensure and certification requirements;
- office location and other geographic considerations;
- other business and organizational needs.
With that said, as required by local law, Vaco believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.