• Build predictive models to forecast trends such as employee turnover, workforce engagement, and talent needs. • Develop prescriptive analytics solutions to inform HR strategies and optimize decision-making processes. • Analyze large datasets from various systems (e.g., Workday, Greenhouse) to uncover actionable insights. • Implement machine learning frameworks for solving HR-related challenges. • Harness insights from unstructured or qualitative data sources, such as performance reviews, annual engagement survey comments, or open-text survey responses. • Develop natural language processing (NLP) models to analyze text data and uncover trends, sentiment, or organizational themes. • Collaborate with stakeholders to define business problems, translate them into technical solutions, and communicate results effectively. • Integrate predictive outputs into Snowflake or visualization platforms like Tableau and Looker. • Partner with HR and data engineering teams to ensure seamless data pipeline management and integrity. • Maintain a strong focus on data accuracy, security, and compliance.

• Translate complex data science findings into clear, actionable narratives for the CEO, C-suite, and Board of Directors. • Serve as the company's chief statistical voice and the final quality backstop for analytical rigor in high-stakes executive decisions. • Raise the communication bar across the entire Data Science organization by setting standards, coaching teams, and co-authoring key executive-facing deliverables. • Produce deep strategic analyses on revenue, platform health, operational efficiency, and competitive positioning. • Partner with engineering VPs, product leaders, and executive staff to embed a data-driven decision-making culture across the company. • Represent Databricks externally as a data science thought leader at industry conferences and publications. • Define and evolve company-wide scientific methodologies.

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 About the role and what you'll be doing: We are looking for potential participants for our 2026 Summer Internship Program and are excited to invite driven and self-motivated candidates to apply! Ensono is dedicated to cultivating talented individuals with unique skillsets who know how to dream big and build bigger! This is a paid position. Ensono’s paid internship is a 12-week program that runs from May 18th to August 7th, 2026 and could lead to a part-time or full-time position within Ensono. Our summer internship is the entry point into our 12-month rotational program. The program aims to create a pathway to full-time employment and develop well-rounded junior associates with great potential. Each summer we choose two interns to join Ensono full-time and gain experience in different departments over 3-month rotations. Because of this, our ideal intern candidate would graduate by December 2026 and be interested in full-time opportunities after the internship ends. What you can look forward to doing- - Practical experience with end-to-end AI/ML projects in enterprise environments.  - Exposure to hybrid cloud and modern data platforms.  - Mentorship from senior data scientists and engineers.  - Opportunity to contribute to impactful solutions for Ensono’s clients We want all new Interns 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 Qualifications - Pursuing a degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field – 3rd year or pursing masters in the same fields. - Experience with Python or R, and familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).  - Understanding of supervised and unsupervised learning, regression, classification, clustering, and model evaluation techniques.  - Experience with data visualization tools (e.g., matplotlib, seaborn, Tableau, Power BI).  Preferred Qualifications - Strong analytical, problem-solving, and communication skills.  - Interest in cloud platforms (AWS, Azure, Google Cloud) and MLOps is a plus.  Why Ensono? Ensono is a place to make better happen – for our clients and for your career. You can do great things through innovation or collaboration, by learning or volunteering, or to promote diversity and inclusion. You can do great things for your own health or for a healthier planet. Whatever it means to you to do great things we want Ensono to be the place you can do it. Ensono is an Equal Opportunity/Affirmative Action employer. We are committed to providing equal employment to our Associates and building a diverse and inclusive workforce. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or other legally protected basis, in accordance with applicable law. As of the date of this posting, a good faith estimate of the current pay scale for this role is $20.00/hr based on a full-time schedule. Please note that placement in the range may vary based on numerous factors including but not limited to skills, experience, internal equity, and business needs. Pay transparency nondiscrimination statement/posting OFCCP’s pay transparency policy can be found on OFCCP’s website. If you need accommodation at any point during the application or interview process, please let your recruiter know or email USTalentAcquisition@ensono.com.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Data Scientist II, you will play a pivotal role in transforming complex data into actionable insights that drive strategic business decisions. You will be responsible for: - Designing, developing, and deploying advanced analytical models and machine learning algorithms to solve challenging problems across various domains. - Collaborating closely with cross-functional teams to translate business needs into data-driven solutions that enhance operational efficiency and customer experience. - Conducting continuous experimentation, validation, and refinement of models to ensure accuracy and scalability. - Enabling the organization to leverage data as a critical asset for innovation and competitive advantage. Qualifications - Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. - 3+ years of professional experience in data science, analytics, or a related role. - Proficiency in programming languages such as Python or R for data analysis and model development. - Experience with machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch. - Strong knowledge of statistical analysis, data mining, and data visualization techniques. - Familiarity with SQL and working with relational databases. Requirements - Master’s degree or higher in a quantitative discipline. - Experience with big data technologies such as Spark, Hadoop, or cloud-based data platforms. - Knowledge of deep learning techniques and natural language processing. - Familiarity with containerization and orchestration tools like Docker and Kubernetes. - Experience working in an Agile development environment. Responsibilities - Develop, test, and implement predictive models and machine learning algorithms to address business challenges. - Analyze large, complex datasets to identify trends, patterns, and opportunities for optimization. - Collaborate with product managers, engineers, and stakeholders to understand requirements and deliver data-driven solutions. - Communicate findings and insights effectively through data visualizations, reports, and presentations to both technical and non-technical audiences. - Maintain and improve existing data pipelines and analytical tools to ensure data quality and accessibility. - Stay current with emerging data science techniques, tools, and best practices to continuously enhance analytical capabilities. Skills In this role, your programming skills in Python or R will be essential for cleaning, analyzing, and modeling data on a daily basis. You will leverage your expertise in machine learning frameworks to: - Build and refine predictive models that address complex business problems. - Efficiently extract and manipulate data from large databases using SQL, ensuring the accuracy and relevance of your analyses. - Translate technical findings into clear, actionable insights for diverse stakeholders. - Utilize familiarity with big data tools and cloud platforms to scale solutions and integrate them seamlessly into production environments.