Data Scientist
Salt Lake City, UT
Job Summary:
The Data Scientist is responsible for leveraging advanced analytics techniques to extract insights from large and complex datasets, driving data-driven decision-making across the organization. This role involves working closely with cross-functional teams to identify business challenges, formulate analytical approaches, develop models, and deliver actionable insights. The Data Scientist should have a strong background in statistical analysis, machine learning, and programming, along with excellent problem-solving skills and the ability to communicate complex findings to both technical and non-technical stakeholders.
What We're Looking For:
Data Exploration and Analysis: Analyze complex datasets to identify patterns, trends, and relationships using statistical analysis and data visualization techniques.
Model Development: Develop and implement predictive and prescriptive models using machine learning algorithms and statistical techniques to solve business problems and generate insights.
Feature Engineering: Perform feature selection and extraction to ensure the availability of relevant variables for model development and improve predictive accuracy.
Model Evaluation and Validation: Evaluate and validate models using appropriate evaluation metrics, ensuring robustness, generalization, and accuracy.
Data Cleaning and Preprocessing: Preprocess and clean data, handle missing values, and address outliers to ensure data quality and reliability.
Collaborative Problem-Solving: Collaborate with cross-functional teams to identify and define business problems, frame analytical questions, and propose data-driven solutions.
Visualization and Reporting: Communicate complex findings and insights through clear and compelling visualizations, reports, and presentations for both technical and non-technical stakeholders.
Continuous Improvement: Stay updated with the latest advancements in data science and analytics, explore new methodologies, tools, and techniques, and propose improvements to existing processes.
Experimentation and A/B Testing: Design and conduct experiments and A/B tests to evaluate the impact of proposed solutions, measure performance, and provide recommendations for optimization.
Ethical Considerations: Ensure compliance with data privacy regulations and ethical guidelines when handling sensitive or personal data.
Qualifications:
Bachelor's degree or higher in computer science, statistics, mathematics, or a related field.
Strong background in statistical analysis, machine learning, and predictive modeling techniques.
Proficiency in programming languages such as Python, R, or SQL, and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn).
Solid understanding of statistical concepts and techniques, hypothesis testing, and experimental design.
Experience with machine learning algorithms, such as linear regression, logistic regression, decision trees, random forests, and neural networks.
Proficient in data visualization tools (e.g., Matplotlib, Tableau) to effectively communicate insights and findings.
Strong problem-solving skills, with the ability to formulate analytical approaches and translate business problems into data science solutions.
Excellent communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.
Ability to work collaboratively in a team environment, manage multiple projects, and prioritize tasks effectively.
Attention to detail and a commitment to delivering high-quality work within established timelines.
Preferred Qualifications:
Experience working with large datasets and distributed computing frameworks (e.g., Hadoop, Spark).
Knowledge of natural language processing (NLP), deep learning, or computer vision techniques.
Experience with cloud platforms (e.g., AWS, GCP) and familiarity with deploying and scaling data science solutions in cloud environments.
Proficiency in using advanced analytics tools and platforms (e.g., TensorFlow, PyTorch, Databricks).
About Us
Kahoa is an AI development shop that uses modern technology to build and design innovative software for our clients. When you become part of Kahoa, you will work in different industries and disciplines, with companies ranging from start-up to enterprise-level, while maintaining a foundational team that will always have your back. We are an Agile company that has about 30 years of diverse experience with expert-level designers, developers, and project managers. On each project, our teams use modern stacks, in-demand languages, and leading-edge technologies to deliver quality products to our clients.
Kahoa offers employees competitive benefits packages which include 401K matching, premiere health/dental/vision insurance, paid overtime, rolling PTO, flexible schedules, and remote work options. Additionally, we are a family-inclusive business and we love to take every opportunity we can to spend time together outside of everyday project work. We hold frequent company activities including monthly BBQs (we love to grill), amusement park days, fun activities for out-of-state employees, team lunches, holiday gift giveaways, holiday parties, and movie premiere nights.
