Job Title: Senior Data Scientist
We are seeking a highly skilled Senior Data Scientist with a strong technical background, a minimum of 4 years of experience, and proven expertise in machine learning and artificial intelligence. As a tech lead on the team, you will play a critical role in driving complex data analysis projects, architecting scalable data solutions, and mentoring junior team members. You will work to uncover patterns, answer key business questions, and guide the organization’s data science strategy. Additionally, you will serve as a primary point of contact for project ownership and delivery, collaborating with technical and non-technical stakeholders to ensure the success of data-driven initiatives.
Essential Functions:
Lead Data Analysis & Solution Design: Lead efforts to identify and define complex, ambiguous data analysis to uncover patterns and answer business questions. Independently formulate and assist in the design of solutions to stakeholder problems.
Architect Scalable Solutions: Architect scalable, reliable, and efficient data solutions that align with the company’s data strategy and stakeholder requirements, ensuring that all solutions are future-proof and well-integrated.
Project Ownership & Leadership: Serve as the subject matter expert, owner, and primary point of contact for assigned projects. Take full responsibility for the end-to-end delivery of ML/AI solutions, from model development to production deployment, and guide decision-making across the organization.
Collaboration & Communication: Consult with technical leaders to establish and communicate realistic timelines and provide authoritative estimates of the level of effort required for each project. Lead discussions on recommended approaches and alternatives for solving modeling and analytical problems.
Stakeholder Management: Effectively communicate project findings and model performance to both technical and non-technical audiences, making complex concepts accessible. Provide estimates of value associated with assigned projects and advocate for their impact across the organization.
Mentorship & Coaching: Guide and mentor junior team members, anticipating challenges and providing proactive solutions. Coach team members on effective approaches, techniques, and methodologies to elevate their work and enhance team performance.
Continuous Improvement: Remain up-to-date with the latest trends and developments in data science, machine learning, and AI, ensuring the team’s methods and solutions stay ahead of industry best practices.
Key Competencies:
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Technical Leadership: Proven ability to lead and drive technical discussions, making authoritative decisions on modeling approaches and solutions.
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Creativity & Problem Solving: Strong ability to think creatively to solve complex business problems with innovative data-driven solutions.
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Attention to Detail: Ensures precision and accuracy in the analysis and delivery of data science projects.
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Adaptability: Ability to thrive in a fast-paced, evolving environment and adjust to changing business needs.
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Mentorship: Proven track record of mentoring and guiding junior team members, fostering growth and development within the team.
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Strategic Thinking: Ability to align day-to-day tasks with long-term business goals, considering future needs and trends.
Minimum Requirements:
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Education: B.Sc. in Machine Learning, Computer Science, Statistics, Mathematics, or a related quantitative field.
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Experience:
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Minimum 4 years of experience with machine learning techniques, predictive modeling, and delivering data-driven solutions.
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Minimum 4 years of experience with SQL and scripting languages such as Python, R, or similar.
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Minimum 4 years of experience with machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn.
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Minimum 4 years of experience working in cloud-based environments such as AWS, Microsoft Azure, Databricks, and Kubernetes.
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Demonstrated experience in deploying machine learning models in a production environment.
Annual Salary
$105,000.00 - $215,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
At this time, GEICO will not sponsor a new applicant for employment authorization for this position.
Benefits:
As an Associate, you’ll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including:
- Premier Medical, Dental and Vision Insurance with no waiting period**
- Paid Vacation, Sick and Parental Leave
- 401(k) Plan
- Tuition Assistance
- Paid Training and Licensures
*Benefits may be different by location. Benefit eligibility requirements vary and may include length of service.
**Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
What We Do
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