Job summary
Job post source
This job is from a recruiting firm hiring for a separate company.
Job overview
The Data Scientist-Sr Consultant II role involves leading data-driven decision-making and developing machine learning models to solve business problems at Allstate, an insurance company.
Responsibilities and impact
The role requires planning and managing machine learning projects, applying statistical and machine learning techniques, collaborating across teams to implement predictive models, communicating results to stakeholders, mentoring junior data scientists, and staying updated on industry trends.
Experience and skills
Candidates must have experience with machine learning, statistical modeling, Python, R, SQL, Linux, and preferably a Master's degree with 3+ years of relevant experience; familiarity with cloud platforms and insurance industry knowledge is a plus.
Career development
The position offers mentoring responsibilities and opportunities to contribute new ideas, supporting professional growth in both technical and business skills.
Company information
Allstate is an insurance company providing car, home, and life insurance services and is the company for which this role is intended.
Job location and travel
The role is remote.
Unique job features
The job involves working on complex machine learning projects in the insurance domain with opportunities to innovate in data sourcing and model development.
Company overview
Jobright.ai is a technology company focused on leveraging artificial intelligence to streamline and enhance the job search and recruitment process for both candidates and employers. The company generates revenue primarily through subscription-based services and partnerships with organizations seeking to optimize hiring, offering tools such as AI-powered resume analysis, job matching, and interview preparation. Founded to address inefficiencies in traditional recruitment, Jobright.ai has positioned itself as an innovator in the HR tech space, emphasizing automation and data-driven insights. Notable milestones include the launch of its proprietary AI algorithms and collaborations with major job boards and corporate clients. Candidates should be aware of Jobright.ai’s commitment to ethical AI practices and its rapidly evolving product suite.
How to land this job
Tailor your resume to highlight your expertise in machine learning, deep learning, NLP, and statistical modeling, emphasizing your ability to develop predictive models that drive business decisions.
Showcase your proficiency with Python, R, SQL, and Linux, as well as your experience collaborating across teams to implement data-driven solutions and mentoring junior data scientists.
Apply through multiple channels including Jobright.ai's corporate careers page, LinkedIn, and other job boards where this position is listed to maximize your application visibility.
Connect with current data scientists or team leads at Jobright.ai on LinkedIn; use ice breakers like commenting on recent data science projects they shared or asking about innovations in predictive modeling within the insurance sector.
Optimize your resume for ATS by incorporating keywords directly from the job description such as 'machine learning,' 'predictive modeling,' 'NLP,' 'Python,' 'SQL,' 'Linux,' and 'insurance data use cases' to ensure your resume passes initial automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, find the best places to apply, and identify relevant LinkedIn contacts, saving you time and increasing your chances of landing the role.
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