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Akkodis · 8 hours ago

Data Scientist

Akkodis is seeking a Data Scientist with a client in Raleigh, North Carolina. The role involves designing and deploying scalable ML solutions, collaborating with stakeholders, and mentoring team members.
Information Technology & Services
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H1B Sponsor Likelynote
Hiring Manager
Sameer Dubey
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Responsibilities

Design and implement predictive and prescriptive models for regression, classification, and optimization problems using advanced techniques such as structural time series modeling and boosting algorithms (XGBoost, LightGBM)
Train and tune models using Python, PySpark, TensorFlow, and PyTorch
Collaborate with stakeholders to translate business challenges into end-to-end data science solutions and integrate models into business processes
Rapidly prototype, test hypotheses, and build automated workflows for model monitoring and performance evaluation
Create dashboards using tools such as Databricks and Palantir to visualize metrics like model drift and explainability (e.g., SHAP)
Build repeatable paths from experimentation to deployment across batch, streaming, and low-latency endpoints
Own and operate ML platform components including model registry, feature store, experiment tracking, artifact stores, and CI/CD pipelines
Author robust data and ML pipelines using Airflow, Step Functions, or Argo
Implement observability, data validation, drift monitoring, alerting, and governance practices
Mentor team members and troubleshoot production issues across data, model, and infrastructure layers

Qualification

Machine Learning EngineeringPythonML pipelinesSageMakerCloud platformsOperational approachExperience in retailCommunication skillsCollaborative mindset

Required

Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field
5+ years of experience with Python (pandas, PySpark, scikit-learn), ML modeling, and experimentation
Hands-on experience with SageMaker or equivalent platforms (Kubeflow, MLflow/Feast, Vertex, Databricks ML)
Strong experience with ML pipelines, orchestration tools, and cloud platforms (AWS/Azure/GCP)
Working knowledge of Snowflake, CI/CD practices, feature pipelines, testing, and model monitoring
Strong communication skills, collaborative mindset, and an operational approach to ML systems

Preferred

Experience in retail or manufacturing is a plus

Benefits

Medical
Dental
Vision
Life insurance
Short-term disability
Additional voluntary benefits
An EAP program
Commuter benefits
401K plan
Paid Sick Leave
Holiday pay

Company

Akkodis provides digital engineering solutions for sustainable and innovative industries.

H1B Sponsorship

Akkodis has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (141)
2024 (121)
2023 (67)

Funding

Current Stage
Late Stage

Leadership Team

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Lane Greever
Chief Operating Officer (COO), Americas
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Kishore Raj
Vice President & Partner: Technology and Engineering Consulting and Services
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Company data provided by crunchbase