Data Scientist

Company Description DVK Analytics is a certified Sisense reseller and implementation partner focused on helping organizations transform how they build, use, and scale analytics. The company delivers next-generation Sisense solutions by combining expert BI consulting with in-house products such as advanced plugins, AI-driven capabilities, and enhanced dashboard experiences. DVK Analytics supports enterprises across industries including Retail, Renewable Energy, Healthcare, and E-commerce to modernize analytics, improve decision-making, and increase operational efficiency. By building scalable data models, designing high-impact dashboards, and integrating AI for natural-language insights, DVK Analytics enables teams to move beyond traditional BI and maximize the value of their data.
Role Description The Data Scientist will work in a full-time, remote capacity, collaborating with cross-functional teams to design, implement, and optimize data-driven solutions. Day-to-day responsibilities include collecting, cleaning, and analyzing complex datasets, developing predictive and descriptive models, and generating actionable insights to support business decisions. The role involves building and validating statistical and machine learning models, creating clear visualizations and dashboards (often in Sisense), and communicating findings to technical and non-technical stakeholders. The Data Scientist will also contribute to the enhancement of analytics products, support AI-driven features, and participate in continuous improvement of data processes and methodologies.
Qualifications
Strong foundation in Data Science and Statistics, with the ability to design experiments, build models, and interpret results.
Proficiency in Data Analytics and Data Analysis for extracting insights, identifying trends, and supporting business decisions.
Experience with Data Visualization tools and techniques to create clear, compelling dashboards and reports.
Hands-on experience with programming languages commonly used in data science (e.g., Python, R) and SQL for data manipulation.
Familiarity with BI and analytics platforms; experience with Sisense or similar tools is highly beneficial.
Understanding of machine learning concepts and frameworks, with experience deploying models into production environments preferred.
Strong problem-solving skills, attention to detail, and ability to explain complex analytical concepts to diverse audiences.
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
Experience working in or with sectors such as Retail, Renewable Energy, Healthcare, or E-commerce is a plus.
Comfort working remotely, with effective time management, collaboration, and communication skills.

Work arrangement
Yes