Data Scientist

หน้าที่และความรับผิดชอบ

• - Collaborate with customer journey experts to develop novel ways to meet objectives utilizing cutting edge techniques and tools - Effectively communicate the analytics approach and how it will meet and address objectives to business partners - Advocate and educate on the value of data driven decision making focusing on the “how and why” of solving problems - Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers - Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products - Engineer features by using business acumen to find new ways to combine disparate internal and external data sources - Share passion for Data Science with broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards - Collaborate, coach, and learn with a growing team of experienced Data Scientists Stay connected with external sources of ideas through conferences and community engagements - Collect and organize structure and un-structure data into usable format Prepare report or visualization of data for excusive and project team

คุณสมบัติ

คุณสมบัติด้านความรู้และความสามารถ

• - Bachelor’s degree required, MS or PhD preferred or experience in Data Science, Computer Science, Engineering, Statistics and 5+ years experience Must have Python or R proficiency working with Data Frames - Must have proficiency writing complex SQL queries & Machine Learning to solve clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets - Must have proven ability to merge and transform disparate internal & external data sets together to create new features - Experience with Big Data technologies desired — Hadoop, Spark, H20.ai, Cloud AI platforms, containerization - Experience with supporting deployment, monitoring, maintenance and enhancement of models desired - Experience with data visualization tools preferred — Tableau, R Shiny, Plotly Python, Power BI etc.

สวัสดิการ

• ประกันสังคม
• ตามข้อตกลงของบริษัท
• ประกันชีวิต
• ทุนการศึกษา
• สิทธิการเบิกค่าทันตกรรม

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