Data Scientist

Company Description

IFS is a billion-dollar revenue company with 6000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.

At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust.

We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.

By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.

We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.

If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.

Job Description

At IFS, we are pushing the boundaries of technology to create innovative software solutions. Our products are built on cutting-edge algorithms that solve complex problems at scale. We are seeking a highly analytical and skilled Algorithmic Software Engineer to join our team and contribute to the development of sophisticated algorithms that power our solutions.

If you're passionate about problem-solving, optimization, and mathematical modeling, and you thrive on tackling challenging technical problems, this role is for you!

Key Responsibilities:

• Algorithm Development: Design, implement, and optimize sophisticated algorithms to solve complex computational problems, ensuring they are both efficient and scalable.
• Data Analysis: Work with large datasets to extract meaningful insights and identify patterns, leveraging analytical tools and techniques to inform algorithm development.
• Optimization: Continuously optimize existing algorithms for speed, accuracy, and resource usage, ensuring they meet performance goals in both time and space complexity.
• Mathematical Modeling: Apply advanced mathematical and statistical methods to develop predictive models, simulations, and algorithmic solutions tailored to business needs.
• Problem Solving: Tackle intricate technical problems, collaborating with cross-functional teams to propose and implement effective algorithmic solutions.
• Collaboration: Work closely with software engineers, data scientists, and product teams to integrate algorithms into software products, ensuring seamless and efficient performance.
• Performance Analysis: Evaluate and benchmark algorithmic performance under different conditions and workloads, using tools to ensure robustness, scalability, and reliability.
• Research & Innovation: Stay up-to-date with the latest developments in algorithm design, computational theory, and industry best practices, applying new techniques and approaches as appropriate.

Qualifications

Required Qualifications:

• Experience: At least 3+ years of professional experience in algorithm development or computational problem-solving.
• Strong Analytical Skills: A highly analytical mindset with the ability to break down complex problems into simpler components and develop algorithmic solutions.
• Mathematical & Statistical Expertise: In-depth knowledge of algorithms, data structures, probability, statistics, and optimization techniques.
• Programming: Proficiency in one or more programming languages such as C#, Go, or similar languages used for algorithm development.
• Problem-Solving Mindset: Strong problem-solving skills and the ability to approach challenges from both a theoretical and practical perspective.
• Data Structures & Algorithms: Solid understanding of fundamental data structures (e.g., trees, graphs, heaps, etc.) and algorithmic paradigms (e.g., dynamic programming, greedy algorithms, divide-and-conquer).
• Performance Tuning: Experience in performance tuning and optimization for algorithmic efficiency, including time complexity (Big O) analysis and memory management.
• Communication: Excellent communication skills, both written and verbal, with the ability to explain complex algorithms to non-technical stakeholders.

Preferred Qualifications:

• Advanced Degree: A Master’s or Ph.D. in Computer Science, Mathematics, Engineering, or a related field is highly preferred.
• Machine Learning: Experience with machine learning algorithms, deep learning frameworks, or data mining techniques is a plus.
• Parallel & Distributed Systems: Familiarity with parallel computing or distributed algorithms is desirable for handling large-scale problems.
• Big Data Tools: Experience working with big data technologies like Hadoop, Spark, or similar platforms is a bonus.
• Research & Development: A background in research, particularly algorithmic theory, optimization, or applied mathematics, is a plus.

Additional Information

We believe that coming together as a community, in person, is important for innovation, connection and fostering a sense of belonging. Our roles have the right balance of remote and in-office working to enable flexibility for managing your life along with ensuring a real connection with your colleagues and the broader IFS community.