Lead Data Scientist
Lead Data Scientist
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Salary Not Disclosed
1 Vacancy
Job Description
Were looking for a Lead Data Scientist with deep technical expertise and strong communication skills to lead end-to-end AI/ML projects for top-tier clients across marketing customer experience and business process optimization and operations.
As a player-coach youll combine technical leadership team mentorship and hands-on delivery to produce client-facing impacts designing cutting-edge solutions from statistical models to GenAI agents. This role is ideal for someone who thrives on innovation and is passionate about delivering measurable business value through data.
What you will do
Lead development of advanced analytics and AI/ML models (e.g. classification time series GenAI computer vision associative rules and decisioning).
Design and oversee robust data pipelines using SQL Spark and cloud platforms (AWS GCP Azure).
Architect and implement solutions involving LLMs transformer-based models and AI agents for generative tasks and automation.
Manage and mentor a team of data scientists; guide project execution and professional development.
Collaborate with business stakeholders to translate problems into machine learning solutions deliver insights and drive model deployment.
Own model lifecycle: from data exploration to production deployment and monitoring (MLOps).
Engage with multimodal data: text image audio or behavioral data from web and app interactions.
Ensure quality reproducibility and documentation of models and findings.
Qualifications :
- MS or PhD in Data Science Statistics Computer Science or a related field.
3 - 5 years of experience in applied machine learning and advanced analytics.
Effective communication skills to technical and non-technical audiences.
Proficiency in Python (and optionally R or Scala) including libraries like scikit-learn TensorFlow PyTorch. ect
Hands-on experience with generative models (e.g. GPT diffusion models) or multimodal AI. Experience using these models during development.
Strong SQL and data engineering skills; Spark/Databricks experience is a plus.
Experience deploying ML models to production (API batch or streaming environments).
Comfortable leading projects and collaborating cross-functionally in a fast-paced client-facing setting.
Familiarity with A/B testing platforms (Optimizely Adobe Target) cloud AI services or explainable AI tools.
The Salary range for this position is $110000 - $160000 - depending on experience and qualifications
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
