Jobs at Fractal

Fractal Analytics seeks a Hacker-Mind AI Engineer for rapid prototyping of AI solutions, problem-solving, and collaboration with teams and clients, leveraging cutting-edge technologies.

The Lead Architect will evaluate technology, create best practices, and ensure smooth project deliveries while collaborating with data teams. Requires expertise in GCP and data solutions.

Consult on digital marketing effectiveness for a global MedTech client: analyze KPIs, diagnose traffic and conversion drivers, run SQL-based exploratory analyses in enterprise data lakes, evaluate channel and campaign performance using analytics platforms, develop executive-ready insights, and partner with marketing, data engineering, and visualization teams to optimize customer journeys.

Gather and analyze client requirements, identify gaps, and develop BI dashboards using Qlik Sense/QlikView, Power BI, or Tableau. Present dashboards and storylines to end users, collaborate with distributed teams, and manage multiple projects under pressure.

Responsible for developing and maintaining web applications using React and Python, collaborating with teams to ensure project success.

Consolidate procurement and ERP data to produce dashboards and reports (Power BI, Tableau). Provide procurement analytics, identify cost-saving opportunities, optimize workflows, implement automation, and partner with procurement leaders to define and track KPIs and communicate insights to stakeholders.

Lead AWS data architect responsible for designing, building and operationalizing large-scale enterprise data platforms and pipelines on AWS. Re-architects on-premises stores to cloud, mentors engineers, runs client workshops, and delivers proofs-of-concept using Spark, Databricks, Glue, Redshift, Snowflake and related AWS services.

Lead a team of data scientists in developing and deploying machine learning models, ensuring code quality, documentation, and smooth industrialization of projects.

As a Data Engineer, you will innovate and maintain technology services, develop software systems for large projects, and work across all SDLC phases.

Design, implement, and manage multi-cloud CI/CD pipelines and automation. Use IaC (ARM templates/Terraform) to provision Azure resources, maintain build agents and release pipelines, manage Git repos in Azure DevOps, integrate automated testing, implement monitoring, logging, and security best practices, and collaborate with teams to resolve vulnerabilities.

Lead development, calibration, and operationalization of Market Mix Models (MMM). Build data pipelines, integrate experiments, quantify channel ROI and elasticity, recommend budget allocation via optimization engines, and communicate insights to marketing and senior stakeholders while ensuring reproducibility and continuous model improvement.

Lead NLP and generative AI solutions end-to-end: build intent/entity extraction, classification, summarization, search, and chatbot systems. Design, fine-tune, and evaluate LLMs and traditional NLP models, implement production-ready pipelines, collaborate cross-functionally, and drive client-facing consulting engagements in financial services.

Design, build, and maintain scalable AWS data pipelines and CI/CD for data workflows. Extract and integrate data from SAP HANA, BW, and ABAP. Implement automated deployments, monitor pipelines, resolve incidents, perform root cause analysis, and enforce data governance, security, and performance optimization.

The role involves designing and building data systems using various technologies, especially within Microsoft Azure, and requires experience in system integration and data warehousing.

The Senior Data Scientist will lead AI/ML projects, manage a data science team, implement analytical solutions, and leverage data for business insights.

Consult with CPG/FMCG clients on Revenue Growth Management analytics programs, focusing on pricing strategies, promotion analysis, and optimizing revenue growth while leading engagements across diverse global markets.

Lead and run enterprise data governance: develop frameworks, policies, metadata and lineage, lead data quality remediation, define stewardship and ownership, ensure regulatory compliance (GDPR/CCPA), set KPIs, train staff, and manage a governance team.

The Senior Fullstack Engineer will design, develop, and maintain enterprise web applications while collaborating with data teams and managing junior engineers.

Owner of full-stack feature implementation across web, API, cloud, DevOps, and AI-enabled capabilities. Design, build, test, deploy, monitor, and optimize scalable, secure production systems; integrate LLMs and RAG; enforce code quality, mentor juniors, and collaborate with architects, TPMs, product, QA and platform teams.

Advise clients on developing and implementing data governance strategies. Design policies, frameworks, and practices for data quality, privacy, metadata management, and security. Deliver governance projects, build capability with frameworks and accelerators, and promote governance awareness across stakeholders and committees.