Data Scientist
Company Description DVK Analytics is a certified Sisense reseller and implementation partner that helps organizations modernize how they build, use, and scale analytics. The company delivers next-generation Sisense solutions by combining expert BI consulting with proprietary products, including advanced plugins, AI-driven features, and enhanced dashboard experiences. DVK Analytics supports enterprises across sectors such as Retail, Renewable Energy, Healthcare, and E-commerce, focusing on better decision-making and operational efficiency. By building scalable data models, designing impactful dashboards, and integrating AI for natural-language insights, DVK Analytics enables teams to move beyond traditional business intelligence. Professionals joining DVK Analytics can expect to work with cutting-edge analytics technologies in a dynamic, client-focused environment.
Role Description This is a full-time remote role for a Data Scientist at DVK Analytics. The Data Scientist will work closely with internal teams and clients to design, build, and optimize data models that power Sisense-based analytics solutions. Day-to-day responsibilities include collecting and cleaning data, performing statistical and exploratory analyses, and developing data-driven models to support business decisions. The role involves creating and refining dashboards and visualizations, collaborating with BI consultants and developers to integrate insights into products and plugins, and using AI and advanced analytics techniques to extract meaningful patterns and forecasts. The Data Scientist will document methods, communicate findings clearly to technical and non-technical stakeholders, and contribute to continuous improvement of DVK Analytics’ tools and frameworks.
Qualifications
- Strong foundation in Data Science and Statistics, with experience applying quantitative methods to real-world business problems.
- Proficiency in Data Analytics and Data Analysis for cleaning, transforming, and interpreting complex datasets.
- Skill in Data Visualization, including designing clear, insightful dashboards and visual reports (preferably with Sisense or similar BI tools).
- Hands-on experience with programming languages commonly used in analytics (such as Python or R) and with SQL for working with relational databases.
- Familiarity with machine learning techniques, model evaluation, and deployment in production or BI environments.
- Ability to communicate analytical findings in a concise, accessible manner to both technical and business stakeholders.
- Experience working in or with sectors such as Retail, Renewable Energy, Healthcare, or E-commerce is an advantage.
- Bachelor’s or Master’s degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Engineering, Mathematics) or equivalent practical experience.