Sr. Software / Data Science Engineer, Manufacturing Data Analytics

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Job Overview

The Sr. Software / Data Science Engineer, Manufacturing Data Analytics at myGwork will play a pivotal role in enhancing the efficiency and effectiveness of manufacturing processes through advanced data analytics. This position involves utilizing statistical methods and software engineering practices to design data-driven solutions, enabling the organization to make informed decisions. The ideal candidate will collaborate closely with cross-functional teams to analyze data, develop algorithms, and implement models that contribute to operational improvement initiatives and drive innovation within the manufacturing sector.

Job Responsibilities

• Design and implement robust data analytics solutions to support manufacturing operations.
• Develop machine learning models to predict and optimize manufacturing processes.
• Collaborate with manufacturing teams to identify data-driven opportunities for process enhancement.
• Perform data mining, data cleansing, and statistical analysis on large datasets.
• Automate data collection and reporting processes for improved operational efficiency.
• Present findings and insights to stakeholders through clear and detailed reports and visualizations.
• Engage in continuous improvement of existing analytics tools and methodologies.
• Stay abreast of industry trends and emerging technologies related to data science and analytics.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• Minimum of 5 years of experience in software development, data science, or analytics, preferably in a manufacturing environment.
• Proficiency in programming languages such as Python, R, or Java.
• Extensive experience with data analysis frameworks and tools, such as Pandas, NumPy, and SciPy.
• Familiarity with machine learning libraries such as TensorFlow or scikit-learn.
• Strong understanding of SQL and experience with databases like MySQL or PostgreSQL.
• Excellent problem-solving skills with a keen analytical mindset.
• Effective communication and presentation skills, with the ability to convey complex information clearly.

Technologies & Tools

The Sr. Software / Data Science Engineer will utilize a range of technologies and tools including but not limited to Python, R, SQL, data visualization tools like Tableau or Power BI, and machine learning libraries such as TensorFlow and PyTorch. Familiarity with cloud computing platforms such as AWS or Azure may also be beneficial for deploying data analytics solutions.

Ideal Candidates

Ideal candidates for this position will possess a strong combination of technical prowess and interpersonal skills. They will demonstrate a passion for data and analytics, showing resilience in solving complex problems. The ability to work collaboratively within diverse teams while driving individual contributions to impactful projects is essential. A proactive approach to learning and adapting to new technologies will further distinguish successful applicants in this dynamic environment.