Lead Data Scientist – Solution Architect

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $180k - $240k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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MCA Connect

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏥 Healthcare

📦 Logistics

💼 Consulting

💰 Private Equity Round on 2020-07

Healthcare • Logistics • Consulting

MCA Connect is a leader in IT services and consulting, specializing in Microsoft Cloud industry solutions aimed at unlocking innovation and providing actionable business insights for manufacturers. With over 20 years of industry expertise, the company focuses on helping manufacturers navigate unique challenges through strategic solutions and innovation. MCA Connect offers services in manufacturing strategy, connected applications, platform management, and manufacturing intelligence, leveraging tools such as Microsoft Dynamics 365 and Azure to support clients in their digital transformation journeys.

📋 Description

• Serve as architectural lead for complex data science, AI, machine learning, forecasting, optimization, and advanced analytics engagements • Partner with clients to understand business challenges, gather requirements, identify data limitations, and translate business needs into scalable technical solutions • Design and guide production-ready solutions using Azure Machine Learning, Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Synapse Analytics, Databricks, Spark, Power BI, and related Microsoft technologies • Provide technical direction on model design, algorithm selection, data preparation, feature engineering, training, validation, deployment, monitoring, and optimization • Lead architecture decisions related to compute configuration, GPU acceleration, model performance, scalability, deployment patterns, and Azure cost/performance optimization • Act as a subject matter expert for internal teams and clients on data science architecture, AI strategy, machine learning engineering, and advanced analytics delivery • Lead client-facing discovery and requirements-gathering sessions • Guide project teams through ambiguous, incomplete, or messy data environments • Communicate complex analytical and technical concepts to technical and business stakeholders • Deliver actionable recommendations about model outputs, business implications, risks, limitations, and improvement opportunities • Support Statements of Work, proposals, solution estimates, technical approach documentation, and project plans • Collaborate with data engineers, data architects, project managers, business analysts, and client stakeholders • Directly manage, mentor, and support a Senior Data Scientist Consultant • Provide coaching, feedback, and technical guidance; review technical deliverables, model designs, code quality, documentation, and client-facing outputs • Support performance management, goal setting, skills development, and career growth for direct reports • Build, review, and guide predictive, statistical, optimization, forecasting, and analytical models • Apply advanced statistical and machine learning methods to large structured and unstructured datasets • Use Python for model development, data exploration, experimentation, and production-ready analytical solutions • Develop and evaluate deep learning models using PyTorch • Support production model deployment, monitoring, drift detection, availability, and performance measurement • Lead experimentation and model validation to ensure accurate, explainable solutions aligned with business outcomes

🎯 Requirements

• 10+ years of hands-on experience in data science, machine learning, AI, advanced analytics, or related technical disciplines • Prior experience in technical architecture, lead data scientist, principal data scientist, AI/ML architect, or similar senior-level role • Strong proficiency in Python for data science, machine learning, deep learning, statistical modeling, and production-level solutions • Experience with Spark and large-scale data processing • Strong experience with Azure-based data and AI technologies, including Azure Machine Learning and related Azure data services • Experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, M365 Agents, or similar AI/agent frameworks • Hands-on experience with PyTorch for deep learning model development • Strong foundation in statistics, regression, forecasting, optimization, and machine learning methodology • Experience developing, deploying, owning, and monitoring production-level machine learning models • Ability to evaluate and apply time-series and forecasting techniques such as ARIMA, TBATS, Temporal Fusion Transformer, Prophet, or similar methods • Experience working with structured, semi-structured, and unstructured data • Experience connecting to and working with data platforms such as data lakes, data warehouses, APIs, NoSQL databases, and cloud-native data services • Ability to translate business needs into technical requirements through active partnership with clients, stakeholders, data scientists, data engineers, and data architects • Strong communication and storytelling skills, with the ability to explain technical concepts and model outputs to non-technical audiences • Demonstrated ability to lead complex client-facing engagements and manage multiple priorities • Strong problem-solving mindset with curiosity, perseverance, and the ability to work through incomplete systems or ambiguous data challenges • Experience mentoring, coaching, or managing technical team members • Must be open to approximately 10% travel as needed • Master's or Ph.D. preferred in Computer Science, Statistics, Applied Mathematics, Data Science, Engineering, Operations Research, or a related field • Strong academic foundation in statistics, computer science, mathematics, optimization, or research-based analytical methods • Published research, thesis work, National Academy of Sciences affiliation, or other demonstrated research depth • Experience in manufacturing, supply chain, demand forecasting, inventory optimization, quality analytics, production analytics, or industrial operations • Experience with cloud-native or ML-native organizations, research-heavy environments, or algorithmic optimization-focused teams • Experience with C++, GPU acceleration, distributed training, or compute optimization • Experience configuring Azure compute environments for machine learning performance, scalability, and cost efficiency • Experience with Databricks, Azure Databricks, or equivalent big data and ML engineering platforms • Experience supporting proposal development, solution estimation, technical sales support, or pre-sales activities • Prior consulting experience in a client-facing technical leadership role

🏖️ Benefits

• Quarterly supplemental bonus compensation • Unlimited Paid Time Off (UPTO) • 401k Plan with Company Matching Contribution • Monthly Stipend for Home Office Expenses • Subsidized Medical, Dental and Vision Coverage • Health Savings and Flexible Spending Accounts • Company Paid Life and Disability Insurance • Training, Certification and Continuing Education Support • Personal and professional growth opportunities