Lead Data Scientist, Blend

$110-160k

SQL

AWS

GCP

Python

Scala

Tensorflow

Azure

Spark

Scikit-Learn

PyTorch

Optimizely

Mid, Senior and Expert level

Remote from US

Business performance data & analytics

Be an early applicant

Business performance data & analytics

501-1000 employees

B2BArtificial IntelligenceAnalyticsSaaSData Analysis

Be an early applicant

$110-160k

SQL

AWS

GCP

Python

Scala

Tensorflow

Azure

Spark

Scikit-Learn

PyTorch

Optimizely

Mid, Senior and Expert level

Remote from US

501-1000 employees

B2BArtificial IntelligenceAnalyticsSaaSData Analysis

Company mission

To help advance our understanding of our customers and business performance.

Job

Company

Role

Who you are

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

What the job involves

We’re 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, you’ll 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
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

Our take

As large enterprises digitise at increasingly complex rates, data solutions and advanced analytics are becoming increasingly vital services. Bled360 is a data science solution provider helping these companies leverage the data they harness in transformative ways.

Consisting of data scientists and engineers, the company aids large enterprises in machine learning operations, AI integration and data governance. Overall, it helps to boost the efficiency of data usage.

Blend360 has also been strategically growing through the acquisition of SMEs, in part funded by its 2022 Growth Equity investment. Companies it has acquired include FutureproofAI, enhancing its service offerings and customer base. Its acquisition of Montevideo Labs also enhances its position in LatAm regions.