Scientist Jobs

About The Position

Requirements

• Four-year degree in Data Science, Statistics, Mathematics, or a related field.
• 3–6 years of experience creating machine learning models and algorithms.
• Proficiency in Python and related data science packages.
• Proficiency in SQL and data management.
• Proficiency in Microsoft Office.

Nice To Haves

• Advanced degree in Data Science, Statistics, Mathematics, or a related field.
• Excellent verbal and written communication skills, including data visualization and presentation.
• Experience with Snowflake, Dataiku, Spark, and R.
• Advanced modeling experience in NLP and LLMs.
• Familiarity with Kubernetes, Docker, GIT, and deployment pipelines.
• Experience with manufacturing systems and data analysis.

Responsibilities

• Work with business leaders and subject matter experts to evaluate project benefits and feasibility.
• Assist with organizational data collection, cleaning, and maintenance.
• Mine data to identify trends, patterns, anomalies, and gaps in data quality and availability.
• Use ad hoc analytics to understand the significance of data.
• Create data features from existing data to improve modeling.
• Develop machine learning models to support operational cost improvement efforts.
• Assist with deploying algorithms using developed machine learning models.
• Create understandable summaries of developed models and algorithms.
• Present findings, improvements, and cost savings to business leaders.
• Teach and guide engineering staff in localized machine learning projects.
• Perform other duties as assigned.
• Gather diagnostic information from appropriate sources and use effective questioning to clarify situations.
• Apply logical, systematic, and sequential approaches to problem-solving.
• Manage complex, high-volume, and sometimes contradictory information to solve problems.
• Learn through experimentation and use successes and failures as learning experiences.
• Apply project management knowledge, skills, tools, and techniques to meet project requirements.
• Communicate clearly across different modes and audiences.
• Maintain honesty, integrity, and confidentiality regarding company matters.
• Follow company policies, procedures, and safety regulations, and promote a safe workplace.