Senior Data Scientist

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. The Reltio Connected Data Platform™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

Job Summary:

As a Senior Machine Learning Engineer specializing in entity resolution, you will be responsible for designing, developing, and implementing advanced machine learning algorithms and models to tackle the intricacies of data matching, entity linkage, and deduplication. You will work closely with cross-functional teams, including Machine Learning engineers, data analysts, and domain experts, to understand requirements and translate them into scalable and efficient solutions. Your work will have a direct impact on developing new and improving existing machine learning solutions, increasing operational efficiency & data quality, and driving meaningful business outcomes for Reltio through application of machine learning and data science practices.

Job Duties & Responsibilities:

• Develop state-of-the-art algorithms and machine learning models for entity resolution, leveraging both supervised and unsupervised techniques.
• Conduct thorough data analysis, identify data quality issues, and implement data preprocessing and feature engineering techniques to improve model performance.
• Explore and experiment with new data sources, features, and modeling techniques to enhance entity resolution accuracy and efficiency.
• Work closely with domain experts to understand specific requirements, domain-specific challenges, and incorporate expert knowledge into the entity resolution process.
• Evaluate and benchmark existing entity resolution models and algorithms, and propose innovative approaches to address limitations and improve performance.
• Collaborate with cross-functional teams to integrate entity resolution solutions into existing data management systems and processes.
• Conduct regular performance monitoring and analysis to ensure the accuracy, reliability, and scalability of entity resolution solutions.
• Stay up-to-date with the latest advancements in data science, machine learning, and entity resolution techniques, and proactively apply new methodologies and technologies to enhance existing solutions.
• Document research findings, methodologies, and model evaluations, and effectively communicate complex technical concepts to both technical and non-technical stakeholders.

Skills You Must Have:

• Master's or equivalent experience in Computer Science, Data Science, Statistics, or a related quantitative field.
• Proven experience (5+ years) working as a Machine Learning engineer, Data Scientist or similar roles, specializing in applied data science and entity resolution.
• 5+ years of experience in data science, machine learning, and natural language processing.
• Proven experience with generative AI models such as LLAMA, Gemini, GPT, or similar.
• Hands-on experience in prompt engineering and fine-tuning of large language models.
• Strong knowledge of and experience in machine learning, data mining, and statistical analysis for model development, validation, implementation and in product integration
• Proficiency in programming languages such as Python or Scala, and experience working with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
• Experience with large-scale data processing frameworks and technologies (i.e. Spark) and proficiency in SQL and database concepts.
• Solid understanding of feature engineering, dimensionality reduction, and data preprocessing techniques.
• Excellent problem-solving skills and the ability to develop creative and innovative solutions to complex data challenges.
• Strong communication skills, with the ability to effectively collaborate with cross-functional teams and explain technical concepts to non-technical stakeholders.
• Attention to detail, ability to work independently, and a passion for staying updated with the latest advancements in the field of data science

Skills That Are Nice to Have:

• Masters or PhD in Computer Science, Data Science, Statistics, or a related quantitative field would be preferred
• Preference to candidates with familiarity and prior experience with entity resolution techniques, such as record linkage, deduplication, and data matching, along with an understanding of associated challenges and trade-offs
• Prior experience with frameworks such as PyTorch, TensorFlow, Keras or MLFlow is a plus