Senior Manager, Delivery Data Science & Analytics
New York, NY, United States
Applications have closed
Informa Group Plc.
Company Description
Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market decisions in an increasingly competitive market.
Curinos operates under a hybrid modality. This individual may work from the Chicago, or New York City office.
Job Description
We’re looking for an experienced data science and analytics leader to join our Marketing Solutions team to deliver our suite of Analytical Marketing Solutions in the consumer banking vertical. The two solutions include a marketing spend benchmark and an AI- and ML-based marketing optimization engine. You are passionate about our clients’ success and therefore you educate them on the correct application scientific marketing to their use cases, and partner with internal product and applied ML teams to deliver Curinos’ value proposition in a repeatable and scalable way. You drive excellence into your team’s everyday activities and bring rigor and observability to client engagements. You work collaboratively with Delivery Strategists to ensure clients at all levels use the Curinos data and/or leverage the platform in a way that drives productive outcomes. You influence peers and senior executives in setting strategic goals based on your deep knowledge of data science and clients’ needs.
Responsibilities
- Partners with business and technical leaders, including senior executives, in shaping engagements with our clients.
- Establishes and evangelizes best practices in experimentation and influences internal and external stakeholders in maturing their experimentation mindset.
- Influences internal and external stakeholders in the rigorous application of statistical, machine learning and AI approaches that ensure correct measurement of business outcomes.
- Translates business objectives into technical requirements and partners with product, engineering and applied ML teams to drive their repeatable and scalable productization.
- Adapts communication styles in real-time based on the audience and situation; effectively negotiates prioritization of key projects and initiatives with other senior leaders at the company and with third-party stakeholders
- Recruits, coaches, and develops a high quality and diverse range of individual contributors and people managers, both driving continued improvements in short-term performance and investing in longer term growth and development
Qualifications
Desired Skills & Expertise
- You have 10+ years' experience and a demonstrable track record of successfully managing enterprise customers in the correct application of machine learning and data science in consumer-facing SaaS products. Experience in scientific marketing contexts is a plus.
- You can demonstrate knowledge of statistical inference, experiment design, probability, sampling methodologies, regression, classification, clustering, data mining, time series analysis, causal inference analysis, and deep learning techniques. Experience with generative AI and LLMs is a plus.
- You have working knowledge of SQL and of Python-based machine learning frameworks and have worked with large datasets in a cloud setting.
- You have exceptional communication skills that can be delivered in the context of your audience from deep science to business decision-makers.
- You have exceptional interpersonal and communication skills and an ability to influence others around you towards data-driven business goals.
- You have managed teams of data scientists and analysts.
- You hold an advanced degree (PhD preferred) or equivalent career experience in Computer Science, Applied Mathematics, Statistics or a related technical discipline
Compensation Range: $140,000 to $160,000 base with bonus potential
Additional Information
Why work at Curinos?
- Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from
- Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!
- Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!
- Learning and development tools to assist with your career development
- Work with industry leading Subject Matter Experts and specialist products
- Regular social events and networking opportunities
- Collaborative, supportive culture, including an active DE&I program
- Employee Assistance Program which provides expert third-party advice on wellbeing, relationships, legal and financial matters, as well as access to counselling services
Applying:
We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need!
If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at careers@curinos.com and we’ll do everything we can to help.
Inclusivity at Curinos:
We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.
Tags: Banking Causal inference Classification Clustering Computer Science Data Mining Deep Learning Engineering Generative AI LLMs Machine Learning Mathematics PhD Python SQL Statistics
Perks/benefits: Career development Competitive pay Flex hours Flex vacation Health care Medical leave Salary bonus Startup environment Team events
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