- Develop, implement, and optimize production-ready code for statistical and machine learning models. Ensure that these models are robust, scalable, and efficient for real-world applications.
- Often responsible for large, complex problems that have broad implications and are less frequent
- Conceptualize and architect software solutions tailored for advanced modeling and analytics tasks. This involves understanding the specific requirements of the model, ensuring that the software is modular, scalable, and integrates well with existing systems.
- Design, automate, and deploy a seamless machine learning pipelines to ensure smooth transition from development to production environments.
- Implement machine learning and data engineering solutions predominantly in Google Cloud. Experience with Google Cloud products such as BigQuery, Cloud ML Engine, and Dataflow will be a significant advantage.
- Reviews deliverables; proactively coaches others on approach and work product
- Lead and evangelize on best practices of capturing and retaining data
- Work closely with cross-functional teams, including product managers, software engineers, and data scientists. Provide technical expertise on projects that require data-driven solutions.
- Stay updated with the latest industry trends in data engineering, machine learning, and cloud computing. Leverage new technologies and methodologies to drive continuous innovation.
- Master's degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, computer science or other quantitative disciplines.
- 7+ years of experience in data science, analytics, or a similar role, with a proven track record of delivering impactful results.
- Strong expertise in machine learning, statistical modeling, and data mining techniques.
- Proficiency in programming languages such as Python, R, Java, and C++, with experience in Python Flask for web application development.
- Experience with data manipulation and visualization tools (e.g., SQL, Pandas, Tableau).
- Experience with big data technologies such as Hadoop, Spark, and cloud computing platforms (e.g., AWS, GCP, Azure) is a plus.
- Understanding and experience with MLOps and DevOps pipelines is a plus
- Cloud Composer or Airflow experience is a plus
- Exceptional problem-solving and critical-thinking skills, with the ability to break down complex problems into manageable components.
- Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences and drive collaboration across teams.
- Leadership: Demonstrated leadership; may have direct reports; Assumes accountability for their work; Sought out for advice; Proactively coaches and guides the work of others; Manages the integration of activities typically within own team; Demonstrates executive presence; Offers an opinion, contributes to the conversation
- Partnering / Influencing: Demonstrated ability to engage and partner at mid to senior leadership levels; Established reputation and track record as an effective and collaborative partner; Coaches and develops relationship building skills in others; Demonstrates managerial courage; willing to dissent from others; leverages organizational and professional savvy and persuasive skills to influence others
- Business Acumen: Understands LOB and KeyCorp strategy; Leverages knowledge of our competition and the business to anticipate needs and make recommendations; Understands how business works; Contributes materially to LOB strategy
- Critical Thinking / Problem Solving: Critical thinker: able to anticipate business partner needs; Sees the "bigger picture"; Advises leaders to make informed decisions based on keen critical thinking and problem-solving ability; Sought out for perspective and guidance with tackling challenges; Can make decisions; considers longer term business strategy in recommending solutions
- Communication: Excellent writing skills; develops writing skills in others; Recognizes the need to deliver the right message at the right tie through the right channel; Articulates the broad implications / impact of the message; Anticipates and addresses conflict; Addresses challenging situations; does not shy away from a tough conversation; Strong presentation development; can coach and guide others to get to the appropriate level of detail and send an effective message; Comfortable presenting to senior levels, easily adapts / changes course, presents with confidence; Demonstrates executive presence
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Quantitative Analytics Manager - Remote, United States - KeyBank
Description
Location:
For Those Who Work At Home - Various, Ohio 44145ABOUT THE JOB (JOB BRIEF):
The Quantitative Analytics Manager is primarily responsible for leading the implementation of predictive and machine-learning models for specific business needs for the model life cycle using statistics, advanced mathematical techniques, and/or computer science. The ideal candidate will have a deep understanding of statistical and machine learning models, as well as a proven track record of implementing and optimizing them for real-world applications. The ideal candidate will have strong analytics and data science application development skill set. The candidate will work closely with cross-functional teams, and your expertise will be pivotal in driving innovation through modeling and technological solutions. Projects undertaken by the Quantitative Analytics Manager are often broad in scope across multiple business segments and involve guiding a team and/or project through providing solutions to business problems leveraging statistics, best practices or emerging techniques, and quantitative tools / techniques. Success factors include: Demonstrating leadership through strong communication skills, addressing conflict, coaching others on developing technical skills; managing competing priorities and presenting holistic, thoughtful analyses to answer partners' problem statements; prioritizing multiple projects and managing to tight deadlines; establishing reputation as an effective and collaborative partner; Communicating technical theories, observations, and models to a non-technical audience; Leveraging knowledge of strategy, business, and competition to connect day-to-day work of team to the "bigger picture" and driving efficiency in solution delivery
ESSENTIAL JOB FUNCTIONS
REQUIRED QUALIFICATIONS
EXPECTED COMPETENCIES
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $115,000to $170,000 annually depending on location and job-related factors such as level of experience. Compensation for this role also includeseligibility forshort-term incentive compensation and deferred incentive compensation subject to individual and company performance.
Please click for a list of benefits for which this position is eligible.
Key has implemented a role-based Mobile by Design approach to our employee workspaces, dedicating space to those whose roles require specific workspaces, while providing flexible options for roles which are less dependent on assigned workspaces and can be performed effectively in a mobile environment. As a result, this role may be Mobile or Home-based, which means you may work primarily either at a home office or in a Key facility to perform your job duties.
Job Posting Expiration Date: 05/26/2024KeyCorp is an Equal Opportunity and Affirmative Action Employer committed to building a diverse, equitable and inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other protected category.
Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
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