Requirements
Qualifications:
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Education: Bachelor's degree in Computer Science, Data Science, or a related field.
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Experience:
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5+ years of experience in systems development, with a strong emphasis on ETL/ELT processes.
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Proven expertise in designing and implementing ML/AI models and other data-driven solutions.
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Familiarity with integrated business systems such as ERP, CRM, HRIS, WFM, and others.
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Technical Proficiencies:
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Mastery in languages like Python, R, or Julia.
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Familiarity with C++, JavaScript, C#, or Ruby is beneficial.
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Experience with big data platforms like Hadoop, Spark, or equivalent.
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Skilled in data visualization tools such as Tableau or Power BI.
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Experience using version control and DevOps tools like Git, Github, Jira, or similar.
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Soft Skills:
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Demonstrated ability to innovate and think outside the box.
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Strong leadership skills with a collaborative mindset.
What you’ll be working on
Job Description:
At Summit Wash Holdings, the Systems and Data Scientist is a linchpin role that embodies the symbiosis of system development and data-driven research. This position is tailored for an expert who thrives in both ETL/ELT processes and business application design and is equally passionate about harnessing data to innovate and solve intricate business challenges.
Responsibilities:
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Research and Innovation:
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Drive innovation by researching new methodologies and technologies to enhance our system's capabilities and performance.
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Stay abreast of industry trends and integrate cutting-edge solutions into our existing systems.
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Technical Systems Development:
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Lead the design, development, and optimization of ETL/ELT processes, ensuring efficient and accurate data integration.
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Oversee the end-to-end design and implementation of integrated business systems such as ERP, CRM, WFM, HRIS, and others.
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Data Science & AI/ML Modeling:
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Harness the power of data, designing and implementing machine learning and AI models that address complex business challenges.
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Collaborate with stakeholders to ensure models align with business objectives and drive desired outcomes.
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Quality Assurance and Continuous Improvement:
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Develop and implement testing procedures to ensure the robustness and accuracy of systems and models.
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Lead initiatives to continuously refine and improve our technical processes and solutions.
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Mentorship and Knowledge Sharing:
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Share insights and findings from research initiatives with the broader team, promoting a culture of continuous learning.
Apply Now!