Data Scientist

About DMI DMI is a leading global provider of digital services working at the intersection of public and private sectors. With broad capabilities across IT managed services, cybersecurity, cloud migration and application development, DMI provides on-site and remote support to clients within governments, healthcare, financial services, transportation, manufacturing, and other critical infrastructure sectors. DMI has grown to over 2,100+ employees globally and has been continually recognized as a Top Workplace in both regional and national categories. About the Opportunity DMI, LLC is seeking a Data Scientist to join us. As a Data Scientist on our team, you will be responsible for designing and implementing advanced data models, analytics solutions, and machine learning algorithms that enable us to deliver accurate, actionable insights from large telecom datasets. You will leverage your deep understanding of data science, statistical analysis, and machine learning to solve complex business problems, such as telecom expense optimization, billing reconciliation, and usage forecasting. Your work will directly impact product innovation, improving the decision-making process for both our internal teams and external customers. In this role, you will collaborate with cross-functional teams, including Database Administrators, Developers, Product Managers, and Customer Success Teams. You will also have the opportunity to shape the data strategy that powers the next generation of features within our Telecom Expense Management platform. Duties and Responsibilities: Data Analysis and Modeling: Analyze large-scale datasets, primarily telecom billing and usage data, to uncover insights and develop data-driven strategies for improving expense management and customer outcomes. Build, deploy, and refine predictive models using machine learning techniques such as regression, classification, clustering, and time series forecasting, to support customer cost optimization and forecasting needs. Design advanced statistical models and algorithms to automate error detection and anomaly recognition, improving the accuracy and efficiency of billing reconciliations. Machine Learning and Predictive Analytics: Develop machine learning models that can forecast telecom usage patterns, identify cost-saving opportunities, and detect billing discrepancies. Continuously improve and retrain machine learning models to enhance accuracy, performance, and scalability. Create robust systems for identifying patterns in telecom data, such as fraud detection, usage anomalies, and outlier identification to mitigate risks for our clients. Data Infrastructure and Pipeline Development: Work closely with the Database Administrator and Development Teams to design, build, and maintain data pipelines that efficiently process telecom data from multiple sources, ensuring data quality and integrity. Collaborate on the architecture of large-scale ETL (Extract, Transform, Load) processes, ensuring the efficient handling of high-volume telecom billing and usage data. Use cloud-based tools and services, primarily in AWS, to automate and optimize data workflows, ensuring seamless integration with the platform. Business Intelligence and Reporting: Develop intuitive and insightful dashboards, reports, and visualizations using tools like Tableau, Power BI, or Python-based libraries to translate complex data into actionable insights for both internal stakeholders and external clients. Provide insights and recommendations to drive product decisions, such as enhancements to cost analytics and telecom optimization tools, based on data trends and user behavior. Collaborate with the Product and Customer Success teams to tailor data-driven solutions to customer needs, improving the overall user experience of the TEM platform. Collaboration and Thought Leadership: Partner with cross-functional teams, including Engineering, Product Management, and Service Delivery, to ensure data solutions align with customer needs and business objectives. Provide guidance to junior data scientists or data engineers, fostering a culture of learning and innovation within the team. Stay up to date with the latest trends and advancements in data science, machine learning, and the telecom industry to keep the company at the forefront of innovation. Innovation and Data Strategy: Identify and explore new opportunities for leveraging advanced data science techniques to expand and improve the platform's features and capabilities. Influence the company's overall data strategy by recommending new ways to enhance data processing, integration, and analytics, contributing to long-term product innovation. Lead initiatives to explore and evaluate emerging technologies in data science, cloud computing, and AI that could bring a competitive advantage to the platform. Qualifications Education and Years of Experience:    Education: Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Master's Degree in a relevant field is preferred but not required. Certifications: Relevant certifications in Data Science, Machine Learning, or AWS Cloud Services are highly desirable. Experience: 3+ years of experience as a Data Scientist, Data Analyst, or similar role, working with large-scale data and developing data models. Required and Desired Skills/Certifications:   Python Proficiency: Proficiency in Python and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) for data analysis, model development, and machine learning. SQL Proficiency: Strong SQL skills, with the ability to write and optimize complex queries for data extraction, aggregation, and transformation from relational databases. Machine Learning : Hands-on experience with machine learning algorithms (regression, classification, clustering, time series forecasting) and tools such as Scikit-learn, XGBoost, and LightGBM. Data Visualization: Proficiency in using data visualization tools such as Tableau, Power BI, or Domo to create clear and impactful data visualizations. Statistical Analysis: Strong background in statistical methods, probability theory, hypothesis testing, and multivariate analysis. Cloud (AWS): Experience working with AWS services such as S3, Redshift, SageMaker, and Lambda to build and deploy models in the cloud. Telecom Industry: Familiarity with telecom data and experience working with billing, usage records, and cost analysis in the telecom space is a strong plus. Big Data: Experience working with big data technologies such as Hadoop, Spark, or Kafka to manage and process large datasets. Advanced Machine Learning: Experience with deep learning frameworks like TensorFlow or PyTorch and knowledge of advanced topics such as natural language processing (NLP) and reinforcement learning is a plus. DevOps and Automation: Experience integrating machine learning models into production environments using DevOps pipelines and automation tools. Data Governance: Familiarity with data governance best practices, including data quality, data privacy, and compliance standards. Agile Methodology: Experience working in Agile development environments, participating in sprint planning, and collaborating in cross-functional teams. Min Citizenship Status Required: Must be a U.S. Citizen Physical Requirements:   Ability to work in an office environment. Ability to sit for long periods of time. Ability to utilize a keyboard and mouse. Ability to work in front of a computer screen for long periods of time. Location: Cincinnati, OH Working at DMI DMI is a diverse, prosperous, and rewarding place to work. Being part of the DMI family means we care about your wellbeing. We offer a variety of perks and benefits that help meet various interests and needs, while still having the opportunity to work directly with several of our award-winning, Fortune 1000 clients. The following categories make up your DMI wellbeing: Convenience/Concierge - Virtual visits through health insurance, pet insurance, commuter benefits, discount tickets for movies, travel, and many other items to provide convenience. Development - Annual performance management, continuing education, and tuition assistance, internal job opportunities along with career enrichment and advancement to help each employee with their professional and personal development. Financial - Generous 401k matches both pre-tax and post-tax (ROTH) contributions along with financial wellness education, EAP, Life Insurance and Disability help provide financial stability for each DMI employee. Recognition - Great achievements do not go unnoticed by DMI through Annual Awards ceremony, service anniversaries, peer-to-peer acknowledgment, employee referral bonuses. Wellness - Healthcare benefits, Wellness programs, Flu Shots, Biometric screenings, and several other wellness options. Employees are valued for their talents and contributions. We all take pride in helping our customers achieve their goals, which in turn contributes to the overall success of the company. The company does and will take affirmative action to employ and advance in employment individuals with disabilities and protected veterans, and to treat qualified individuals without discrimination based on their physical or mental disability or veteran status. DMI is an Equal Opportunity Employer Minority/Female/Veterans/Disability. DMI maintains a drug-free workplace. ***************** No Agencies Please ***************** Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. US citizenship may be required for some positions. #LI-EK1

Created: 2024-11-05