About Sia 

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. 

Sia’s AI & Data Business Unit is the powerhouse of our firm’s innovation—merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia’s AI & Data team, you’ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting. 

Core Qualifications

• Engage with stakeholders to clarify requirements, define success metrics, and translate business needs into technical deliverables.
• Design robust, well-documented solutions with clear handover plans for client teams.
• Own project milestones, communicate status/risks, and deliver on time and within scope.
• Uphold data quality, security, privacy, and compliance standards (e.g., GDPR/CCPA).
• Write maintainable code, follow version control and CI/CD practices, and contribute to documentation.

Data Engineering

• Design, build, and optimize data pipelines (batch/streaming) and ELT/ETL workflows.
• Model data (e.g., Lakehouse, star/snowflake schemas) and manage data storage solutions.
• Develop and operationalize data ingestion using tools such as dbt, Airflow, Kafka, and cloud-native services.
• Implement data governance and lineage; monitor reliability, performance, and cost.
• Deploy infrastructure as code and productionize solutions on cloud platforms.

Data Science and Machine Learning

• Frame analytical/ML problems, develop features, and build models (predictive, NLP, forecasting, optimization).
• Evaluate models with rigorous experimentation; implement MLOps for deployment, monitoring, and retraining.
• Communicate insights with clear narratives and visualizations
• Ensure model fairness, interpretability, and responsible AI practices as appropriate.

Data Analytics and BI

• Transform data into actionable insights; build dashboards, semantic models, and self-serve datasets.
• Define metrics and KPIs; ensure consistency and data quality across sources.
• Conduct exploratory analysis, A/B testing design/analysis, and cohort/segmentation studies.
• Enable adoption through stakeholder training and clear documentation.

• Demonstrated experience (typically 3+ years) in one or more areas: Data Engineering, Data Science/Machine Learning, Data Analytics/Business intelligence or Generative AI
• Advanced SQL plus proficiency in at least one: Python or R. Strong command of Git and collaborative workflows.
• Hands-on experience with modern data stacks 
• Ability to scope work, estimate effort, and deliver independently in a client-facing setting.
• Excellent communication skills and the ability to explain complex topics to non-technical audiences.

Preferred Qualifications

• AWS, Google Cloud, Microsoft Azure certification
• Experience with multiple client environments, rapid onboarding to unfamiliar codebases, and writing robust handover docs.
• Successfully completed multiple data projects
• Production experience with:
  • Data engineering: Spark, Databricks, Snowflake, BigQuery, Redshift, Synapse, Airflow, dbt, Kafka, Fivetran/Matillion, Terraform.
  • ML/AI: scikit-learn, XGBoost, TensorFlow, PyTorch, MLflow, SageMaker, Vertex AI, Azure ML, feature stores.
  • Analytics/BI: Power BI, Tableau, Looker, LookML, semantic modeling, DAX/MDX.
  • DevOps: Docker, Kubernetes, CI/CD, monitoring/observability.
• Knowledge of data governance, privacy, and quality frameworks; familiarity with GDPR/CCPA, SOC 2, HIPAA (as applicable).
• Bachelor’s degree required.

Compensation & Benefits 

We believe in supporting our team professionally and personally. Here’s a snapshot of the comprehensive benefits you’ll enjoy as part of Sia. 

Competitive Compensation 

• Compensation range is between $71,000-$102,000 annually commensurate with experience and qualifications

Robust Health Coverage 

• 3 Medical plans  

• Dental and Vision  

• Life, AD&D and other voluntary insurance  

Tax-Advantaged Accounts 

• 401K retirement plan 

• 4% matching and 100% vested upon enrollment 

• Health Savings Account (HSA) 

• Flexible Spending Account (FSA)  

• Health, Dependent Care, Commuter 

Family Friendly Benefits  

• 100% paid parental leave for all new parents with eligible tenure 

• Building Healthy Families program if enrolled through Medical plan 

Time Off to Recharge 

• Generous Paid Time Off (PTO) policy 

• 9 company holidays plus 1 floating holiday  

Extras that Make Life Easier 

• College savings and student loan repayment assistance 

• Monthly cell phone stipend 

• Access to wellness programs at no cost if enrolled through Medical plan, including: 

  • Gym membership reimbursement 

  • LiveHealth Online virtual care 

  • Personalized support from a Well-being Coach  

• Employee Assistance Program at no cost 

  • Free confidential counseling and emotional support services  

  • On-demand access to Emotional Well-being resources (ranging from relaxation techniques to stress management)  

Diversity, Equity, Inclusion & Belonging 

At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information.  

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. 

Office Workplace Guidelines  

Sia is committed to providing a flexible workplace environment that supports client, business, and market needs. Consultants located in our primary market office locations—New York City, Charlotte, Seattle, and San Francisco—are expected to live within a reasonable commuting distance and attend the office at least three days per week. For Consultants outside of our primary markets, we can offer more flexible in-person requirements in accordance with your location. 

Work Authorization & Sponsorship  

At this time, Sia does not intend to pursue employment with applicants who will require now or in the future visa by our company for work authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status).  

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. 

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.