แสดงผล 1 - 2 ตำแหน่งงาน จากทั้งหมด 2 ตำแหน่งงาน
ที่มีคำว่า Hadoop
เรียงตาม
กรุณาเลือก
- No elements found. Consider changing the search query.
อัพโหลดเรซูเม่ของคุณ AI ของเราจะวิเคราะห์และแนะนำตำแหน่งงานที่ดีที่สุดให้คุณ
ห้วยขวาง, กรุงเทพ, งานวิจัยและวิทยาศาสตร์
,นักวิเคราะห์
,ไอที / เขียนโปรแกรม
งานวิจัยและวิทยาศาสตร์,นักวิเคราะห์,ไอที / เขียนโปรแกรม
ทักษะ:
Research, Big Data, Full Stack, English
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Develop customer and business insights to identify business opportunities or resolve business challenges, and provide actionable recommendations to guide business decisions.
- Prepare data from different data sets for building analytical models and delivering customer insights and recommendations to guide business decisions.
- Communicate findings and build buy-in with key stakeholders through data visualizations.
- Deliver pre and post campaign analysis to guide the design and optimization of analytical models and personalized marketing campaigns.
- Design, develop, and deploy analytical models and advanced analytic solutions using statistical techniques and machine learning technologies.
- Work with engineers to implement end-to-end process from model development to testing, validation, deployment, and lifecycle support.
- Research and Development on novel data science and analytics tools and ML/AI technology.
- Background/ Experiences.
- 3+ years of Experience working with customer-centric data at big data-scale and applying machine learning, optimization and statistical methods to large datasets in various industries: financial services, telecom, retails, insurance, e-commerce, or related industries.
- Strong statistical knowledge, superior analytical abilities, and good knowledge of business intelligence solutions.
- Full stack experience in data collection, aggregation, analysis, visualization, productionisation, and monitoring of ML products - MLOps.
- Experience in being able to translate business needs into executable data science and analytics solutions.
- Proven track record in client engagement, relationship building, and project management is PLUS.
- Knowledge & Skills.
- Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering).
- Deep understanding of mathematics and statistical modeling, predictive modeling, and machine-learning algorithms with hands-on experience with Machine Learning frameworks.
- Excellent Proficiency in programing languages (SQL, R, Python) and Experience with business intelligence solutions (Tableau, PowerBI or Advanced Excel).
- Hand-on experience in data engineering, working with big data technology (Spark/Hadoop) and cloud platforms such as Azure, AWS, or GCP.
- Excellent verbal, written, and interpersonal communication skills (both Thai and English).
14 วันที่ผ่านมา
ดูเพิ่มเติมkeyboard_arrow_down
บันทึก
ยกเลิก
ห้วยขวาง, กรุงเทพ, นักวิเคราะห์
,ไอที / เขียนโปรแกรม
,งานวิจัยและวิทยาศาสตร์
นักวิเคราะห์,ไอที / เขียนโปรแกรม,งานวิจัยและวิทยาศาสตร์
ทักษะ:
Research, Big Data, Full Stack, English
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Develop customer and business insights to identify business opportunities or resolve business challenges, and provide actionable recommendations to guide business decisions.
- Prepare data from different data sets for building analytical models and delivering customer insights and recommendations to guide business decisions.
- Communicate findings and build buy-in with key stakeholders through data visualizations.
- Deliver pre and post campaign analysis to guide the design and optimization of analytical models and personalized marketing campaigns.
- Design, develop, and deploy analytical models and advanced analytic solutions using statistical techniques and machine learning technologies.
- Work with engineers to implement end-to-end process from model development to testing, validation, deployment, and lifecycle support.
- Research and Development on novel data science and analytics tools and ML/AI technology.
- Background/ Experiences.
- 3+ years of Experience working with customer-centric data at big data-scale and applying machine learning, optimization and statistical methods to large datasets in various industries: financial services, telecom, retails, insurance, e-commerce, or related industries.
- Strong statistical knowledge, superior analytical abilities, and good knowledge of business intelligence solutions.
- Full stack experience in data collection, aggregation, analysis, visualization, productionisation, and monitoring of ML products - MLOps.
- Experience in being able to translate business needs into executable data science and analytics solutions.
- Proven track record in client engagement, relationship building, and project management is PLUS.
- Knowledge & Skills.
- Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering).
- Deep understanding of mathematics and statistical modeling, predictive modeling, and machine-learning algorithms with hands-on experience with Machine Learning frameworks.
- Excellent Proficiency in programing languages (SQL, R, Python) and Experience with business intelligence solutions (Tableau, PowerBI or Advanced Excel).
- Hand-on experience in data engineering, working with big data technology (Spark/Hadoop) and cloud platforms such as Azure, AWS, or GCP.
- Excellent verbal, written, and interpersonal communication skills (both Thai and English).
15 วันที่ผ่านมา
ดูเพิ่มเติมkeyboard_arrow_down
บันทึก
ยกเลิก
ส่งแจ้งเตือนงานใหม่ล่าสุดสำหรับHadoop
- 1
