52 applicants

Company

Original Job Post

Jobot Consulting · 3 days ago

Data Scientist

Washington, DC

Full-time

Onsite

Senior Level

$140K/yr - $170K/yr

4+ years exp

Wonder how qualified you are to the job?

Maximize your interview chances

Business Consulting and Services

Insider Connection @Jobot Consulting

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Develop and optimize data science models to process, analyze, and extract information from varying data sources, particularly textual.

Apply machine learning and artificial intelligence techniques to build predictive and prescriptive models.

Clean, preprocess, and transform large datasets to prepare them for analysis and model training.

Identify and engineer relevant features to enhance model performance and accuracy.

Design and implement robust evaluation metrics and frameworks to assess and monitor the performance of machine learning models.

Work closely with cross-functional teams, including engineers, product managers, and domain experts, to understand business requirements and deliver data science solutions that meet those needs.

Stay updated on the latest advancements in NLP and AI research and apply them to real-world problems as needed.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningArtificial IntelligenceData ScienceNatural Language ProcessingPythonSQLPandasNumpyScikit-learnNLTKSpaCyData PreprocessingFeature EngineeringModel DeploymentModel EvaluationMachine Learning TechniquesAI AlgorithmsData StorytellingCollaborationCommunicationProblem-SolvingAnalyticalPostGISGeoPandasArcToolboxDeep LearningHuggingFaceGPTPyTorchTensorFlow

Required

Bachelor's in Computer Science, Data Science, or a related field.

4-6 years of experience in machine learning, artificial intelligence, and data science.

2 years of experience in natural language processing.

Extensive knowledge in Python, SQL, Python data science libraries (Pandas, Numpy, Scikit-learn, etc.), and Python NLP libraries (NLTK, SpaCy, etc.).

Solid understanding of data preprocessing, feature engineering, and model deployment/evaluation.

Strong knowledge of machine learning techniques and AI algorithms.

Demonstrated ability to work in a collaborative team environment.

Excellent communication and data storytelling skills.

Strong problem-solving and analytical skills.

Preferred

Preference for experience working with geospatial data (SQL PostGIS, Python GeoPandas, ArcToolbox Deep Learning, etc.)

Preference for experience with transformers and LLMs (HuggingFace, GPT, PyTorch, TensorFlow, etc.) and cloud infrastructure platforms such as Snowflake and AWS.

Publication record in relevant conferences or journals is a plus.