Lead Data Scientist at SG-EDTS
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A strategic-driven scientist with more than 7+ years of extensive experience. I’m dedicated to supporting business development and growth using my muscle knowledge of statistical analysis, machine learning, deep learning, generative AI, and IoT. Currently, I work for EDTS which has had its main business in data management consultancy for 4+ years. Before joining Salim Group EDTS, I worked for 2+ years in the e-commerce industry.
Universitas Sebelas Maret
Bachelor’s Degree, Physics
January 1, 2011 – January 1, 2016
SG-EDTS
Lead Data Scientist
January 1, 2023 – Present
Jakarta, Indonesia
SG-EDTS
Senior Data Scientist
July 1, 2019 – April 1, 2023
Jakarta, Indonesia
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Cultural Fit Analysis
The candidate's diverse project portfolio, spanning e-commerce, FMCG, and IoT, demonstrates adaptability and a broad interest in applying data science across various domains. The focus on developing in-house solutions and leading product initiatives suggests an innovative and proactive approach, which aligns well with cultures that value self-starters and continuous improvement. However, the target role is 'Data Analyst', while the candidate's experience is heavily skewed towards 'Data Scientist' and 'Machine Learning Engineer' roles. This might indicate a potential mismatch in the expected day-to-day responsibilities, as a Data Analyst role typically involves more descriptive analytics, reporting, and dashboarding, rather than end-to-end ML product development. While the candidate has experience in descriptive analytics, the primary focus has been on advanced ML/AI. This could lead to overqualification or a desire for more advanced technical work than a typical Data Analyst role might offer.
Soft Skills & Operational Fit
The candidate's career progression from an apprentice to a lead role within the same company (elevenia, then SG-EDTS) suggests strong leadership potential, commitment, and the ability to take on increasing responsibilities. The detailed project descriptions indicate a problem-solving mindset and a focus on delivering business value through data science. The experience in managing teams and leading R&D initiatives points to strong operational fit for roles requiring both technical depth and team leadership.