RESPONSIBILITIES:
Kforce has a client that is seeking a Data Scientist in Washington, DC.
Responsibilities:
* Model Development: Develop and optimize data science models to process, analyze, and extract information from varying data sources, particularly textual
* Machine Learning and AI: Apply machine learning and artificial intelligence techniques to build predictive and prescriptive models
* Data Preprocessing: Clean, preprocess, and transform large datasets to prepare them for analysis and model training
* Feature Engineering: Identify and engineer relevant features to enhance model performance and accuracy
* Model Deployment and Evaluation: Design and implement robust evaluation metrics and frameworks to assess and monitor the performance of machine learning models
* Collaboration: 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
* Research: Stay updated on the latest advancements in NLP and AI research and apply them to real-world problems as needed
* Embrace the startup mentality by wearing multiple hats and stepping outside traditional job roles as needed; Your versatility and willingness to take on diverse responsibilities will be key to our success in a dynamic and evolving landscape
REQUIREMENTS:
* 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 of 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
* 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
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.