Senior Data Scientist

Who We Are

We are change agents. We are inspired technologists. We are unlike any other technology consulting firm. Our team fearlessly challenges the status quo, relentlessly pursues what’s next and pushes the limits of what’s possible. A Microsoft Gold Partner and multiple-time Partner of the Year award recipient, Concurrency is renowned for its ability to turn unmatched technology expertise into customer outcomes. Have we inspired the technologist in you? Come be a change agent at Concurrency.

Who We’re Looking For

We’re excited to add a Data Scientist to our Data & AI team. In this role, you’ll be responsible for designing and engineering ML systems that solve customer problems across Manufacturing, Retail, Agriculture, Education, Hospitality, and more. You’ll serve as a forward-thinking technical thought leader with a passion for aligning technical solutions to customer and business needs.

What You'll Do

• You’ll help our data science team grow by sharing your ideas, challenging status quo, and influencing the direction of the team
• You’ll demonstrate a broad knowledge of ML approaches and are pragmatic about solutions. E.g., you create business value and fit models
• You’ll work across supervised, unsupervised, and deep learning approaches while being comfortable using inferential statistics, time series, LLMs, or computer vision approaches to solve a given problem (we don’t expect expertise in all!)
• You’ll design, engineer, test, document, and explain production ML systems in Azure, Python, SQL, and Git
• You’ll take the lead gathering input from non-technical customer stakeholders and senior IT leadership to plan what to build and set project scope
• You’ll frame complex problems and propose options to either use data when it’s available or pursue alternatives when it’s not
• You’ll take the lead in technical design discussions, remove blockers, and align stakeholders
• You’ll use Big Data tools (Databricks, Spark, Azure, SQL, Python) to carry out supporting analyses and build production solutions
• You’ll fit, tune, test, validate, and deploy ML models in an MLOps setting to solve real-world problems
• You’ll discuss project issues and topics simply when presenting to customers 

What You'll Need

• Strong coding skill in SQL and Python (especially pandas, numpy, scikit-learn, Tensorflow/PyTorch)
• Relative experience (~10+ projects) in cloud development. Azure is preferred but AWS and GCP are acceptable
• Professional experience using Databricks/Spark and Docker/Kubernetes 
• 3+ years experience owning ML systems from idea to maintenance
• Demonstrable thought leadership evidenced by an active GitHub, blog posts, or publication record
• Deeply curious about the world
• Willing to challenge the status quo to propose improvements
• Motivated by challenge and do not shy away from potential failure
• Can communicate simply and intuitively to diverse audiences with varying technical background
• Proven success with--and interest in--owning end-to-end projects solo but knowing when to escalate and delegate
• Experience with--and interest in—developing in a production MLOps setting
• Practical experience with tools for the ML lifecycle, including EDA, data prep, data verification, modeling, testing, deploying, and relevant object-oriented software development tasks
• Experience using data visualization to understand and persuade 

What Will Set You Apart

• Having most of the above characteristics and experiences
• Above average experience in cloud development
• Strong software engineering experience
• Experience working in a professional services organization
• Product mentality but a professional services approach

Concurrency takes pride in bringing a different mindset to consulting—that takes a diversity of thought, collaboration and resilience. We are an innovation-obsessed yet a fun and progressive place to work. We offer flexible work schedules, competitive compensation, and great benefits for our people and their families.

In addition, all employees are eligible for several rewards and recognition programs, excellent training programs, and bonus opportunities to encourage our people to be the best versions of themselves in and out of work.