ociate Machine Learning yst

THIS JOB CAN BE FOUND ON OUR EXCLUSIVE JOB BOARD IT IS NOT A DIRECT ROLE AT AUGMENT JOBS

Job Description:

Position Overview: The ociate Machine Learning yst will support our data science and machine learning initiatives by isting in the development implementation and optimization of machine learning models. This role involves working closely with senior ysts and data scientists to yze data build predictive models and generate actionable insights that drive business decisions.

Key Responsibilities:

• Data ysis & Preparation: Collect clean and preprocess large datasets from various sources. Conduct exploratory data ysis to uncover patterns and insights.
• Model Development: ist in the design and implementation of machine learning models. Utilize algorithms such as regression clification clustering and timeseries ysis to solve business problems.
• Evaluation & Optimization: Evaluate model performance using metrics like accuracy precision recall and AUC. Optimize models for better performance and scalability.
• Reporting & Visualization: Create reports and visualizations to present findings and model results to stakeholders. Communicate complex technical information in a clear and understandable manner.
• Collaboration: Work closely with crossfunctional teams including data engineers business ysts and product managers to understand requirements and integrate machine learning solutions into existing systems.
• Continuous Learning: Stay uptodate with the latest developments in machine learning and data science. Apply new techniques and technologies to improve processes and outcomes.

Qualifications:

• Education: Bachelors degree in Computer Science Data Science Statistics Mathematics or a related field. A Masters degree is a plus.
• Experience: 13 years of experience in data ysis or machine learning preferably in a professional setting. Experience with internships or academic projects involving machine learning is also acceptable.
• Technical Ss: Proficiency in programming languages such as Python or R. Familiarity with machine learning libraries and frameworks like scikitlearn TensorFlow or PyTorch. Experience with SQL and data visualization tools (e.g. Tableau Power BI) is a plus.
• ytical Ss: Strong problemsolving abilities and experience with statistical ysis and data interpretation.
• Communication: Excellent written and verbal communication ss with the ability to present technical information to nontechnical stakeholders.
• Attention to Detail: High level of accuracy and attention to detail in all aspects of work.

Preferred Qualifications:

• Experience with cloud platforms (e.g. AWS Azure Google Cloud).
• Familiarity with big data technologies (e.g. Hadoop Spark).

Why Join Us:

• Career Growth: Opportunities for professional development and career advancement.
• Innovation: Work on exciting and challenging projects with a focus on cuttingedge technologies.
• Culture: Be part of a collaborative and supportive team environment.
• Benefits: Competitive salary comprehensive health benefits retirement plans and other employee perks.