Senior Data Scientist II

Data Engineer / Senior / Supervisor

Software Engineering Talent Sourcing - Fran & Rob

About the Role : <ul><li>As a data scientist on our team, you will work on new product development in a small team environment writing production code in both run-time and build-time environments.&nbsp;</li><li>You will help propose and build data-driven solutions for high-value customer problems by discovering, extracting, and modeling knowledge from large-scale natural language datasets including matter and contract repository, invoice/legal spend data and work management.&nbsp;</li><li>You will prototype new ideas, collaborating with other data scientists as well as product designers, data engineers, front-end developers, and a team of expert legal data annotators.</li><li>You will get the experience of working in a start-up culture with the large datasets and many other resources of an established company.</li><li>We are committed to advancing gender diversity within the technology sector and supporting greater representation of women in tech. To further this commitment,</li></ul> Responsibilities: <ul><li>Develop and implement LLM-based applications tailored for legal use-cases&nbsp;</li><li>Evaluate and help maintain our data assets and training/evaluation data sets&nbsp;</li><li>Design and build pipelines for preprocessing, annotating, and managing legal document datasets&nbsp;</li><li>Collaborate with legal experts to understand requirements and ensure ML-applications meet domain-specific needs&nbsp;</li><li>Conduct experiments and evaluate model performance to drive continuous improvements&nbsp;</li><li>Fine-tune and deploy large language models to enhance their performance on legal text processing tasks&nbsp;</li><li>Interface with other technical personnel or team members to finalize requirements.&nbsp;</li><li>Work closely with other development team members to understand complex product requirements and translate them into software designs.&nbsp;</li><li>Successfully implement development processes, coding best practices, and code reviews for production environments.</li></ul> Requirements:&nbsp; <ul><li>Able to work in person 2 days per week&nbsp;</li><li>Bilingual English and Spanish&nbsp;</li><li>Practical experience with large language models, prompt engineering, fine-tuning RAG-based applications and benchmarking, using frameworks such as LangChain&nbsp;</li><li>MS in Data Science, Computer Science, Statistics, Machine Learning, or relevant work experience&nbsp;</li><li>Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, Flair, BERT (ways to vectorize text data)&nbsp;</li><li>Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms&nbsp;</li><li>Strong Python background&nbsp;</li><li>Knowledge of AWS, GCP, Azure, or other cloud platform&nbsp;</li><li>Understanding of data modeling principles and complex data models.&nbsp;</li><li>Proficiency with relational and NoSQL databases as well as vector stores (e.g., MySQL, Postgres, Solr, Elasticsearch/OpenSearch)</li><li>Knowledge of Spark-Scala, Ray or other distributed computing systems highly preferred&nbsp;</li><li>Knowledge of API development, containerization, and machine learning deployment highly preferred&nbsp;</li><li>Experience with ML Ops/AI Ops including experiment tracking tools like LangFuse and DVC&nbsp;</li><li>Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face Transformers Work in a way that works for you We promote a healthy work/life balance across the organization. </li><li>We offer an appealing working prospect for our people.&nbsp;</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate. </li><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.</li></ul>

Role Description:The Data Engineering Senior Supervisor will lead a small team of data engineering professionals to design, build and operate high performance data centric products or solutions through the use of modern engineering practices and technologies.In this role, you will provide guidance to ensure the delivered data centric products or solutions are scalable, sustainable and robust.You will also lead team development and cross team relationships and delivery to advance the company's engineering delivery.Responsibilities:Lead a local or regional team of engineering professionals that design, develop, deploy and enhance new and existing data centric products or solutions through the use of modern platforms and technologies.Provide routine inputs and guidance to the data engineering team on business requirements analysis, technical specification's preparation, product delivery, testing and operation to support businesses strategic direction.Coach engineers, share relevant technical approaches, identify new trends, modern skills and present new methodologies within the data engineering community.Lead and develop a team, coach and make decisions related to talent management, hiring, performance, and disciplinary actions.Other duties as assignedRequirements:Minimum QualificationsBachelor's degree in a related field or equivalent experience.Minimum of four years of related work experience.Minimum of two years leading a team of Data Engineers.Preferred QualificationsConfirmed data engineering experience with data storage and management of large, heterogenous datasets, including formats, structures, and cataloging with such tools as Iceberg, Parquet, Avro, ORC, S3, HFDS, HIVE, Kudu or others.Experience leading Big Data engineering teams working in environments such as Hadoop and SparkExperience leading technology strategies with cloud Platforms including AWS, GCP or AzureExperience leading engineering teams working in streaming and stream integration or middleware platforms, tools, and architectures such as Kafka, Flink, JMS, or Kinesis.Confirmed knowledge of best practice patterns and how to apply them to modern data architectures, including data warehouses, data lakes, data mesh, hubs and associated capabilities including ingestion, governance, modeling, observability and more.Experience leveraging transformation and modeling tools, including SQL based transformation frameworks, orchestration and quality frameworks including dbt, Apache Nifi, Talend, AWS Glue, Airflow, Dagster, Great Expectations, Oozie and others.Strong programming knowledge of SQL, Python, R, Java, Scala or equivalent.Proficiency in engineering tooling including docker, git, and container orchestration services.Strong experience leading devops teams with demonstratable understanding of associated best practices for code management, continuous integration, and deployment strategies.Experience and knowledge of data governance considerations including quality, privacy, security associated implications for data product development and consumption.A passion for quality and continuous improvement with an owners mindset.Ability to work effectively as part of a team, group and cultureAbility to navigate ambiguity and work in agile ways.

Responsibilities:Lead individual project priorities, deadlines, and deliverables using AGILE methodologies.Deliver high efficiency, high availability, concurrent, and fault-tolerant software systems.Significantly contribute to the development of Aladdin’s global, multi-asset trading platform.Provide impact and expertise as a senior individual contributor in building various capabilities of the OEMS (Order & Execution Management System) like real-time market data pipelines, algorithmic trading, trade analytics, pre & post-trade TCA, watch lists, smart order routing and integrated news & Twitter feeds.Guide and mentor team members in order to build a highly performant team.Work with product management and business users to define the roadmap for the product.Design and develop innovative solutions to complex problems, identifying issues, and roadblocks.Be a leader with vision and a partner in brainstorming solutions for team productivity, efficiency, training, and motivating developers, and hiring new developers.Work closely with Researchers to implement trading signals and models used for making investment decisions.Identify and implement ways to improve the efficiency of production processes and infrastructure.Support and maintain production processes and infrastructure.Collaborate with platform team to develop new features for alpha gen platform.Identify and utilize new alpha-enabling technology in signal implementation.Working as part of a multi-disciplinary squad to establish our next generation of data pipelines and tools.Be involved from the inception of projects, understanding requirements, designing & developing solutions, and incorporating them into the designs of our platforms.Mentor team members on technology and best practices.Build and maintain strong relationships between DataOps Engineering and our Technology teams.Contribute to the open-source community and maintain excellent knowledge of the technical landscape for data & cloud tooling.Assist in troubleshooting issues, support the operation of production software.Write technical documentation.Requirements:8 + years of hands-on experience in Java.Experience in building Order and Execution Management, Trading systems are ideal.A depth understanding of concurrent programming and experience in designing high throughput, high availability, fault-tolerant distributed applications is required.Expertise in building distributed applications using NoSQL technologies like Cassandra, coordination services like Zookeeper, and microservices architecture / SOA is required.Experience in message-oriented middleware architecture is required.Knowledge of UI components including swing, web technologies is required.Understanding relational databases is a must.Strong analytical and software architecture design skills with an emphasis on test-driven development.Experience in programming languages such as Scala, python would be a plus.Experience in using streaming technologies like spark streaming or storm would be a plus.Experience in using Project Management methodologies such as Agile/ScrumExpected to drive the growth of the trading platform through performance, stability, usability, and new investment product capabilities.Effective communication and presentation skills (written and verbal) are required.Bachelor’s or Master’s degree in Computer Science or Engineering preferred.2+ years of hands-on developer experience of object-oriented design pattern knowledge and implementation experience using Python or Java.Knowledge of workflow management frameworks such as Dask/Airflow is a plus.Knowledge in SQL and experience working with relational databases (Sybase, SQL Server).BA/BS in Computer Science or Mathematics-related field from an accredited university.The ability to apply mathematics, machine learning, or quantitative analysis to tackle complex problems and deliver high-quality solutions.Excellent analytical and problem-solving skills with keen attention to detail and an inclination to validate everything.Knowledge and experience adhering to software development standard methodologies including test-driven development (TDD), unit testing discipline, agile development, and CI/CD strategies.A genuine interest in investment strategies, risk, equities, fixed income, or financial derivatives;Experience with cloud technologies such as Hadoop, Spark, S3, Kubernetes is a plus.5 + in an SRE/DevOps role, or related IT or operations field.Passion for engineering highly available performant systems.Experience with Cloud Native platforms, both hosted and on-prem (AWS or AZURE).Experience working closely with Systems Engineers and Technology teams.Working knowledge of building and deploying distributed systems.Experience with scriptings such as Python or Ruby.Good understanding/experience with languages such as Go/Scala/Java.Experience with software deployment and orchestration technologies such as Helm, Docker, Kubernetes, OpenStack, etc.Experience supporting database or datastores e.g. MongoDB, Redis, Cassandra, Ignite, Hadoop, S3.Experience in messaging and streaming platforms such as NATS or Kafka.Experience in creating and evolving CI/CD pipelines with GitLab or Github following GitOps principles.Experience in security fundamentals.Experience in troubleshooting and system administration tasks in Linux or Unix.

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Senior Data Scientist II

Data Engineer / Senior / Supervisor

Software Engineering Talent Sourcing - Fran & Rob

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Senior Data Scientist II

Data Engineer / Senior / Supervisor

Software Engineering Talent Sourcing - Fran & Rob

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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