Job Posting Title Data Scientist
Columbus, OH
Pay Rate : $55/Hr
Experience : 10
Data Scientist - Artificial Intelligence
Description
Required skills:
Advanced statistics and ML modeling (hypothesis testing, experimentation, feature engineering, evaluation, calibration). Strong SQL/Python for large-scale data wrangling (joins, windows, tuning, cleansing, reconciliation, automated quality checks). Data engineering for scalable batch/streaming pipelines (ETL/ELT, CDC, incremental, Airflow/Prefect/Dagster). Deep knowledge of modern data platforms (lakehouse/warehouse, S3/ADLS, Snowflake/BigQuery/Redshift, Parquet/Delta/Iceberg, partitioning, access control). MLOps deployment with Docker, Kubernetes, CI/CD, MLflow, and endtoend monitoring.
Nice to have skills:
Build and maintain production-grade data pipelines (batch and streaming) with clear SLAs, retries, idempotency, and automated backfills.
Integrate and model data across sources by defining schemas, keys, transformations, and curated layers that support analytics and ML consumption.
Implement data quality, observability, and governance controls, including validation rules, lineage, access controls, and anomaly detection on data freshness and volume.
Productionize analytics and ML by packaging models, deploying services or jobs, managing versioning, and monitoring drift, performance, and latency.
Serve trusted data products to consumers via optimized warehouse tables, feature stores, and APIs, ensuring secure access and predictable query performance.
- Combines data analysis and business acumen to tackle cognitive computing challenges.
- Proficient in advanced analytics techniques for structured data.
- Deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content.
- Specialized in foundation models and large language models (LLMs).
- Architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models.
- Experience with tools like GitHub Copilot and Amazon CodeWhisperer.
- Creates comprehensive cognitive solutions that process and analyze both structured and unstructured data.
- Strong foundation in at least one of: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies.
- Strong proficiency in Python.
- Experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face.
- Understanding of libraries such as SciKit Learn, Pandas, and Matplotlib.
- Familiarity with cloud platforms (e.g., Kubernetes, AWS, Azure, Google Cloud Platform) and related services.
- Works with relational and NoSQL databases (SQL, Postgres, DB2, MongoDB).
- Experience with various operating systems (Linux, Windows, iOS, Android).
- Familiarity with modern UI frameworks (Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, JQuery).
- Experience in the full AI project lifecycle, from research and prototyping to deployment in production environments.
Never miss an opportunity! Create an alert based on the job you applied for.
