Analytic Science — Pre-Sales Lead Scientist

FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!

The Opportunity

"As an AI Pre-Sales Scientist you’ll be responsible for communicating to clients on FICO’s AI/Gen AI and machine learning/analytic methods and latest innovations to drive sales efforts for FICO’s solutions that manage risk, fight financial crime, build profitable customer relationships, and meet regulatory requirements. As an AI/Gen AI and machine learning/analytic domain expert, you will engage customers at mid-level management and technical levels to ensure strong knowledge of FICO’s product differentiation and unique intellectual property (IP). Also, you will support direct sales in the communication of FICO’s differentiation of FICO’s AI/Gen AI capabilities via presentations and product deep-dive sessions. Whenever the opportunity arises, you will gather customer feedback to inform and lead the creation of new IP to guide FICO’s product and business development roadmap." – Analytic Science, Sr Manager

What You’ll Contribute

• You will elevate how we engage with internal and external business on topics related to AI/Gen AI.

• You will be accountable for driving strong customer engagement and understanding of FICO’s AI/Gen AI product offerings, understanding customer needs and relating those needs to machine learning/analytic methods utilized in FICO’s AI/Gen AI products.

• You will also bring new requirements back to the product development team for consideration as part of our AI/Gen AI product roadmaps.

• You will participate in research projects to identify emerging trends and technologies in AI/Gen AI space that can help us develop new products and expand our IP library.

• You will focus on external communications bringing to our customers move visibility of the AI/Gen AI innovations and process behind the innovations, including speaking engagements, collateral development, presentations, and social medial messaging.

• You will create proof of concepts, product demonstrations, respond to RFIs/RFPs, and prepare sales package proposals.

What We’re Seeking

• MSc degree in computer science, engineering, physics, statistics, mathematics, operations research or natural science fields with hands-on related experience in data science, including AI/Gen AI and machine learning. 

• Experience analyzing large data sets and applying data-cleaning techniques along with performing statistical analyses leading to the understanding of the structure of data sets.

• Proven and demonstrable experience with at least three of the following machine learning algorithms: neural networks, logistic regression, non-linear regression, random forests, decision trees, support vector machines, linear/non-linear optimization.

• Experience working with Java and Python, and strong understanding of data structures, algorithms, and software design patterns.

• Experience with AI and Gen AI frameworks (e.g., TensorFlow or PyTorch).

• Experience with at least one cloud-based platform (e.g., AWS SageMaker or Azure Machine Learning).

• Adept at translating business problems into solution statements.

• Strong communication skills and bilingualism/multilingualism are highly desirable.

• Open for travel (50% — national and international travel).

Our Offer to You

• An inclusive culture strongly reflecting our core values:  Act Like an Owner, Delight Our Customers and Earn the Respect of Others.

• The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.

• Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.

• An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.

• The targeted base pay range for this role is: $120,000 to $189,000 with this range reflecting differences in candidate knowledge, skills and experience.
   

Why Make a Move to FICO?

At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – Big Data analytics.  You’ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.

FICO makes a real difference in the way businesses operate worldwide:

•    Credit Scoring — FICO® Scores are used by 90 of the top 100 US lenders.

•    Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems.

•    Lending — 3/4 of US mortgages are approved using the FICO Score.

Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 software companies by revenue. We help many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people – just like you – who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment. We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career.  Join FICO and help change the way business thinks!

Learn more about how you can fulfil your potential at www.fico.com/Careers

FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply.

Information submitted with your application is subject to the FICO Privacy policy at https://www.fico.com/en/privacy-policy