Senior Data Scientist

Job Description

Cloud BC Labs is expanding its data science talent to further push the frontiers of modeling and advanced analytics. Are you passionate about advanced analytics algorithms and creating new data science tools and technologies Do you have creative and innovative approaches to developing new analytics techniques Were seeking data scientists who have domain knowledge or an interest in Big Data machine learning natural language processing image processing and an interest to apply it to economic and financial applications.

Are you looking to innovate the next generation of data analytics solutions with diverse data sets and leadingedge analytics usecases If you are ready for an exciting opportunity working hands on with the worlds most advanced data science technologies and thrive in a super dynamic environment where you are being counted on to develop advanced analytics products this role is for you.

Minimum Qualifications:

• Work or educational background in one or more of the following areas: operations research computer science Mathematics data science business analytics or knowledge management.
• Demonstrated experience programming with R/Python Linux and Spark in AWS cloud environment or knowledge and algorithmic design experience in Python/C#/C (3 years)
• Proficient with Amazon AWS Sagemaker Jupyter Notebook and Python Scikit Deep Learning Machine Learning tools such as TensorFlow
• experience building Vector DB NLP LLM and GenAI tools. Experience with LoRA LangChain RAG LLM Fine Tuning and PEFT are preferred.
• Demonstrated experience with SQL and relational database technologies such as Oracle PostgreSQL MySQL RDS Redshift Hadoop EMR Hive etc.
• Demonstrated experience processing structured and unstructured data sources data cleansing data normalization and prep for analysis
• Demonstrated experience with machine learning techniques including natural language processing BERT RoBERT GPT and Large language Models.
• Demonstrated experience with code repositories and build/deployment pipelines specifically Jenkins and/or Git.
• Demonstrated experience using Apache Hadoop and/or Apache Spark stack for big data processing or comparable distributed computing platforms.
• Demonstrated experience using data streaming technologies such as Kafka Rabbit MQ NiFi Kinesis or comparable tools
• Demonstrated experience using Tableau Kibana Quicksights or other similar data visualizations tools.
• Ability to handle terabytes of timeseries and crosssectional data and extract well defined alpha from the underlying relationships
• Very comfortable working with ambiguity (e.g. imperfect data loosely defined concepts ideas or goals)

Qualifications & Requirements

• Education: MS in Computer Science Statistics Math Engineering or related field PhD preferred
• 3 years of relevant experience in building large scale machine learning or deep learning models and/or systems
• 1 year of experience specifically with deep learning (e.g. CNN RNN LSTM)
• 1 year of experience building NLP LLM and GenAI tools. Experience with LoRA LangChain RAG LLM Fine Tuning and PEFT are preferred.
• Demonstrated skills with Jupyter Notebook AWS Sagemaker or Domino Datalab or comparable environments
• Passion for solving complex data problems and generating crossfunctional solutions in a fastpaced environment
• Knowledge in Python or C / C# and SQL object oriented programming service oriented architectures
• Strong scripting skills with Shell script and SQL
• Strong coding skills and experience with Python (including SciPy NumPy and/or PySpark) and/or Scala.
• Knowledge and implementation experience with statistical and machine learning models (regression classification clustering graph models etc.)

Preferred Qualifications

• Hands on experience building models with deep learning frameworks like MXNet Tensorflow Keras Caffe PyTorch Theano or similar
• Experience search architecture (ex Solr ElasticSearch)
• Experience with building querying ontologies such as Zeno OWL RDF SparQL or comparable
• Knowledge and implementation experience with NLP techniques (LDA TF/IDF Sentiment analysis) and NLP technologies such as Python NLTK or Spacy or comparable technologies
• Knowledge & experience with microservices service mesh API development and test automation.
• Demonstrated experience using Docker Kubernetes and/or other similar container frameworks.

Additional Job Qualifications:

• Ability to translate business ideas into analytics models that have major business impact.
• Demonstrated experience working with multiple stakeholders.
• Demonstrated communication skills e.g. explaining complex technical issues to more junior data scientists in graphical verbal or written formats.
• Demonstrated experience developing tested reusable and reproducible work.
• Transparently documenting code and methodologies.
• Ability to work in Agile Lean and rapid development processes