Data Scientist - Urbandale, IA
7 hours ago
Job description
Data Scientist I - Data Science & Machine Learning
Intelligent Solutions Group – Contingent
We are working on a Glider test and it will be requested for some candidates after shortlisting.
Job Responsibilities
• Lead and/or support key data science and analytics projects
• Collect business requirements using a variety of methods, such as interviews, document analysis workshops, and workflow analysis, to express the requirements in terms of target user roles and goals.
• Conduct research using primary data sources, and select information needed for the analysis of key themes and trends.
• Utilize analytics techniques to clean, preprocess, explore, and analyze data sets to extract actionable insights.
• Identify, collect, structure, process and persist data required for downstream analytic consumption.
• Use data from a wide range of sources to analyze key themes and translate it into meaningful features to quantify possible impacts on the business.
• Develop and implement statistical models, machine learning algorithms and optimization routines to address complex business problems and drive actionable insights.
• Collaborate with cross-functional teams to understand their data needs and provide analytical support.
• Maintain an accurate and transparent backlog of refined work to inform product timelines.
• Present findings in meetings and translate results into reports and presentations.
• Participate in peer-reviews regarding both concept proposals and solution reviews.
• Commit to working in an Agile-based environment and becoming a champion of the process.
• Stay up-to-date on industry trends and advancements in the field of data science and identifying opportunities to employ them in your work.
• Participate in hack-a-thons and be an advocate for demonstrating the art of possible to others.
Education Details
• Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering or related field.
Required Skills/Experience
• Experience with Python and SQL programming languages
• Strong knowledge of data manipulation and analysis
• Deep experience working with Dataframes to prototype and manage complex data ETL and pre-processing and model pipelines for analytic consumption
• School and/or work experience analyzing text and/or numerical data
• Experience with applied statistical analysis and machine learning algorithms
• Excellent communication and teamwork abilities
• Strong analytical skills and attention to detail
• A passion for problem-solving and a desire to learn and grow in the field of data science.
• Work with full competence to shift into and out of a mental mindsets associated with assessing the facts and circumstances of the current situation and/or environment and making the appropriate/innovative adjustments to thinking and work habits to thrive in any scenario.
• Work independently and without supervision
• Provide guidance and training to others on analyzing data trends for use in reports to help guide decision making.
Desired Skills/Experience
• Master's or PhD Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering or related field.
• Knowledge of PySpark, Git, GitHub, Bash, Databricks
• Databricks or AWS Associate/Professional certifications
• Expertise in relational database systems, data models, and schema creation
• Experience working with
BoMs, agronomic and telematics dataset
s
• Strong software engineering fundamentals
• Experience with Data Engineering and/or MLOps
• Knowledge of transformers, Large Language Models (LLMs) and/or Artificial Intelligence (AI)
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