Data Scientist with expertise in Artificial Intelligence

Job Title: Data Scientist - Artificial Intelligence

Job ID: 26-07616

Location: Onsite: Columbus, OH

Job 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 end-to-end 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."

A Data Scientist with expertise in Artificial Intelligence is a professional who skillfully combines data analysis and business acumen to tackle cognitive computing challenges. They are proficient in advanced analytics techniques for structured data and have a deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content. They are specialized in foundation models and large language models and skilled in architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models; along with Experience in tools like Github Copilot, Amazon Code Whisperer. This expertise enables them to create comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data. The professional should also have a strong foundation in one of the following areas: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies. This skill set is valuable in solving complex business problems and leveraging the power of artificial intelligence for cognitive computing. They have strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face; understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc; familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services. They work with a variety of relational and NoSQL databases (SQL, Postgres, DB2, MongoDB), operating systems (Linux, Windows, iOS, Android), and modern UI frameworks (Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery). They have experience in full AI project lifecycle, from research and prototyping to deployment in production environments

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