Akkodis is seeking a Data Scientist with a strong mortgage domain background and deep expertise in enterprise data architecture to analyze large datasets, develop predictive models, and deliver actionable analytics solutions for a client.
Requirements
- Minimum 5+ years of experience in data science, machine learning, or advanced analytics.
- Proven ability to build and deploy predictive models using Python, R, or similar tools.
- Experience working with large datasets, data pipelines, and visualization tools such as Power BI or Tableau.
Responsibilities
- Analyze large datasets to uncover patterns, trends, and insights that drive strategic decision-making.
- Develop predictive models and machine learning algorithms to solve business problems and improve operational efficiency.
- Design and implement data pipelines for data collection, cleaning, and transformation.
- Visualize data findings using tools like Power BI, Tableau, or Python libraries (e.g., Matplotlib, Seaborn).
- Stay current with industry trends and emerging technologies in data science and AI.
Other
- Candidates must have a strong mortgage domain background and deep expertise in enterprise data architecture.
- Bachelor’s or master’s degree in data science, Computer Science, Statistics, or a related quantitative field.
- The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: The California Fair Chance Act, Los Angeles City Fair Chance Ordinance, Los Angeles County Fair Chance Ordinance for Employers, San Francisco Fair Chance Ordinance.
- It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.
