Data Scientist

Data Scientist  

At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.  

We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose.  

HONESTY, RELIABILITY, COLLABORATION, CURIOSITY, PASSION 

At Ensono, we're on a mission to reinvent managed services for the AI era, shifting from manual, reactive support to a software-first, predictive model. Our Envision Operating System is designed to harness the power of AI and automation to orchestrate operations across mainframe, distributed, and cloud environments. 

As a Data Scientist, you'll be the engine behind the intelligence that powers this transformation. You'll take diverse, messy, and often incomplete datasets—ranging from ServiceNow incidents to capacity telemetry to financial signals—and turn them into insights, predictions, and models that drive smarter, faster, and more proactive decisions. 

This isn't research for research's sake. The models you create will predict major incidents before they occur, detect anomalies in real time, and optimize workloads to reduce costs. You'll work side-by-side with Data Engineers, ML Engineers, and MLOps to ensure your models don't just live in notebooks—they scale, deliver measurable business value, and directly improve uptime and client experience. 

We're looking for impact-driven data scientists—builders who want to see their work powering live systems, not sitting on a shelf. If you thrive in turning ambiguity into actionable intelligence and want to help rewrite the future of managed services, this role is for you. 

What You Will Do: 

Model Development – Design, train, and validate machine learning models for incident prediction, anomaly detection, workload optimization, and intelligent automation. 

Feature Engineering – Collaborate with Data Engineers to identify, transform, and optimize features from ServiceNow, operational telemetry, financial, and customer datasets. 

Experimentation & Evaluation – Apply rigorous statistical and experimental design methods (A/B testing, Design of Experiments) to validate model performance. 

Insight Generation – Use data storytelling to translate complex model results into actionable insights for business and operations stakeholders. 

Collaboration Across Teams – Partner with ML Engineers to deploy models into production and with Ops teams to ensure predictions are explainable and trusted. 

Continuous Improvement – Monitor drift, retrain models, and refine approaches to stay ahead of evolving infrastructure and client needs. 

We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.   

Required Skills & Experience 

Strong foundation in statistics, machine learning, and data science techniques (linear models, trees, ensembles, neural networks). 

Proficiency in Python and core data science libraries (Pandas, NumPy, Scikit-learn; bonus: TensorFlow/PyTorch). 

Experience working with ServiceNow data and other IT operations datasets. 

Skilled in SQL for data exploration and feature engineering. 

Knowledge of Snowflake is an important capability 

Familiarity with data storytelling tools (Tableau, Power BI, or similar) to communicate insights effectively. 

Knowledge of model evaluation metrics (F1, ROC/AUC, precision/recall) and experience optimizing for business impact, not just technical performance. 

Experience with experimentation frameworks, statistical testing, or Design of Experiments (DOE) is a strong plus. 

 Mindset & Values 

Get Stuff Done – You don't over-engineer; you deliver working models and iterate. 

Business Impact First – You measure success not just in accuracy scores but in reduced incidents, faster resolution, and measurable cost savings. 

Collaborative Problem-Solver – You thrive in cross-functional teams, bridging the gap between data, operations, and business leaders. 

Curious Innovator – You push the boundaries of how AI/ML can be applied to enterprise IT, always looking for creative ways to improve. 

Success Looks Like 

Predictive models that identify major incidents up to an hour in advance with confidence and accuracy. 

Actionable insights that are trusted by Ops teams and integrated into their workflows. 

Clear business outcomes: improved uptime, lower costs, and faster mean time to resolution (MTTR). 

A growing library of reusable features and models that scale across multiple clients and infrastructure types. 

Why Ensono? 

Ensono is a place where we unleash Associates to Do Great Things – for our clients and for your career. This could mean achieving a professional goal, collaborating with your team on an innovative idea, learning a new skill, reaching a wellness milestone, or engaging in your community through volunteer programs. Whatever it means to you, we want Ensono to be the place where you can do great things. 

We value flexibility and work-life balance. Positions that are not required to be onsite to support a client may offer the ability to work remotely or hybrid at an Ensono office location.