Control Space

Data Scientist

LOUISVILLE, KYPosted 30+ days ago

Job summary

  • Job post source

    This job is directly from Control Space

  • Job overview

    The Data Scientist at Control Space is responsible for leveraging advanced analytics and machine learning to extract insights from complex data, driving business optimization and data-driven decisions.

  • Responsibilities and impact

    The role involves collecting and analyzing large data sets, cleaning and preprocessing data, applying machine learning techniques, optimizing models, creating data visualizations, collaborating with teams, and managing data pipelines and databases.

  • Experience and skills

    Candidates should have a Bachelor's or Master's in Computer Science or related fields, proficiency in Python, R, or Scala, experience with machine learning frameworks, SQL, data visualization tools, strong analytical skills, and good communication abilities.

Company overview

Control Space is a technology company specializing in the design and implementation of advanced building automation and audiovisual integration solutions for commercial environments. The company generates revenue by providing end-to-end services, including consulting, system design, installation, and ongoing support for clients in sectors such as corporate offices, education, hospitality, and retail. Founded by industry experts, Control Space has built a reputation for delivering tailored, high-performance systems that enhance operational efficiency and user experience. The company often partners with leading hardware and software vendors to ensure state-of-the-art solutions. Candidates should be aware of Control Space’s focus on innovation, customer-centric approach, and its commitment to staying ahead in a rapidly evolving technology landscape.

How to land this job

  • Tailor your resume to highlight your expertise in advanced analytics, statistical modeling, and machine learning techniques such as deep learning, NLP, and computer vision, as these are central to the Data Scientist role at Control Space.

  • Emphasize your experience with data preprocessing, exploratory data analysis, and building scalable data pipelines, along with proficiency in Python, R, or Scala and SQL, to align with the job's technical requirements.

  • Apply through multiple channels including Control Space’s corporate career site and LinkedIn to maximize your chances of visibility and consideration for the position.

  • Connect with current Data Scientists or analytics professionals at Control Space on LinkedIn; start conversations by referencing a recent Control Space data initiative or asking about the impact of their machine learning projects to break the ice.

  • Optimize your resume for ATS by incorporating keywords from the job description such as 'machine learning,' 'data visualization,' 'SQL,' 'TensorFlow,' and 'statistical analysis' to ensure your application passes automated screening effectively.

  • Use Jennie Johnson’s Power Apply feature to automate multi-channel applications, tailor your resume with relevant keywords, and identify LinkedIn contacts for networking, allowing you to focus more on interview preparation and skill enhancement.

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