Senior Data Scientist

Reltio, Trusted Data Foundation for Your Business Outcomes About Reltio At Reltio, were on a mission to enable digital transformation by delivering a single source of truth for enterprise data designed for the digital experience economy.

We are disrupting the master data management (MDM) software market when we launched the first cloud-native MDM software-as-a-service (SaaS) platform.

The Reltio Connected Data Platform leverages a cloud-native multi-tenant architecture and our ecosystem to enable speed, agility and flexibility at scale.

Companies across industries rely on Reltio to deliver mission-critical, secure, trusted real-time data at scale to create connected omni-channel experiences for their customers, partners and employees.

Weve 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.

So if youre ready to work on unrivalled 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, lets talk.

Reltios Focus : At Reltio, you can take part in our mission to enable digital transformation by delivering a single source of truth for enterprise data designed for the digital experience economy.

We contribute to more fulfilling and happier lives for people everywhere by delivering a single source of truth for data enabling digital transformation.

We leverage a cloud-native multi-tenant architecture and our ecosystem to enable speed, agility and flexibility at scale.

We pride ourselves in our transparent, leadership, and meritocratic company culture and have achieved the Fortune 100 best companies to work for.

Reltios values : Customers and Partners are people not companies Better Together Simplify and Share Own it Bring your all Leadership Expectations : Be one Reltio Be Candid & Caring Make Data-Driven Decisions Learn Teach Learn Role Model All Day, Every Day How you will make a difference 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.

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 Conduct regular performance monitoring and analysis to ensure the accuracy, reliability, and data management systems and processes.

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.

Qualification : 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.

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 Preference would be preferred Masters or PhD in Computer Science, Data Science, Statistics, or a related quantitative field 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