Senior Data Scientist II

This is a fully remote position, open to applicants in District of Columbia, +3 more states.

📋 Description

• Address complex challenges in natural language processing, machine learning, and information retrieval, including tasks such as topical classification, sentiment analysis, entity extraction, and user intent detection.

• Conduct research, build, train, assess, and deploy machine learning models utilizing both traditional and deep learning methodologies.

• Create resilient NLP-based models across extensive news, financial, legal, and business data sets.

• Design and enhance scalable NLP and machine learning workflows.

• Assess cutting-edge algorithms, models, APIs, and open-source resources, including BERT, ELMo, and GPT-based architectures.

• Convert intricate business needs into actionable technical narratives with feasible estimates.

• Collaborate with product leaders, engineers, and cross-functional partners to implement data science solutions for business challenges.

• Contribute to the establishment of best practices for model development, evaluation, deployment, monitoring, and upkeep.

• Support and mentor junior team members while actively participating in a small, collaborative team environment.

⛳️ Requirements

• In-depth knowledge of machine learning methods, including classification, clustering, recommendation systems, regression, and statistical modeling.

• Practical experience with Python machine learning and data science libraries such as scikit-learn, pandas, NumPy, and other related tools.

• Familiarity with NLP tools and techniques such as OpenNLP, Stanford NLP, LDA, Gensim, spaCy, or equivalent frameworks.

• Proficient in training large-scale models with at least one modern deep learning framework like TensorFlow, Keras, PyTorch, MXNet, Caffe, or Caffe2.

• Background in building and deploying cloud-based services, ideally using AWS solutions such as EC2 and Lambda.

• Minimum of 5 years of recent coding experience in Python and/or Java or Scala.

• Proficient in SQL programming.

• Experience in designing, working with, and analyzing complex data models.

• Awareness of cloud-based machine learning environments, Spark, visualization and dashboarding tools, Elasticsearch, Solr, and graph databases like JanusGraph or Neptune.

• Capability to set, communicate, implement, and achieve business objectives and targets.

• Ability to work efficiently within a small team and offer technical leadership or mentorship to junior colleagues.

• Experience with large language models and generative AI processes.

• Familiarity with entity extraction, taxonomy management, knowledge graphs, or data enrichment.

• Experience with large-scale legal, news, financial, business, or professional data sources.

• Knowledge of model evaluation, experimentation frameworks, MLOps practices, and production ML monitoring.

🏝️ Benefits

• Eligibility for annual incentive bonuses.

• Flexible working hours.

• Wellbeing initiatives.

• Shared parental leave.

• Study assistance.

• Opportunities for sabbaticals.

• Country-specific benefits.

• Support for accommodations or adjustments during the hiring process for disabilities or other needs.