Dice is the leading career destination for tech experts at every stage of their careers. Our client, Kani Solutions, is seeking the following. Apply via Dice today!
Description
As a Data Scientist, you will leverage your expertise in statistical analysis, machine learning, and data visualization to extract meaningful insights from complex datasets. This role will involve collaborating with cross-functional teams to define problems, develop analytical methodologies, and deliver actionable recommendations that drive business decisions. You will be responsible for designing and implementing algorithms, data collection processes, and statistical models to address specific business challenges.
Responsibilities
- Analyze large datasets to derive actionable insights and data-driven strategies.
- Develop predictive models and machine learning algorithms to enhance business performance.
- Collaborate with business stakeholders to understand their needs and translate them into analytical solutions.
- Prepare and clean data for analysis, ensuring data accuracy and quality.
- Visualize data and present findings using compelling visualizations to both technical and non-technical audiences.
- Conduct A/B testing and other experimental methodologies to evaluate the impact of strategic initiatives.
- Stay current with industry trends and advancements in data science, incorporating new techniques and tools into our processes.
Requirements
- Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- Proficiency in programming languages such as Python or R, and experience with SQL.
- Strong understanding of statistical analysis and machine learning techniques.
- Experience with data visualization tools like Tableau, Power BI, or similar.
- Ability to work with large and complex datasets from various sources and formats.
- Excellent problem-solving skills and a keen analytical mind.
- Strong communication skills, with the ability to convey complex ideas in a clear and concise manner.
Note: It is a W2 Role Not C2C, & Candidates should have a valid work Authorization to work in USA