เงื่อนไขการค้นหา

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Statistics, Python, SQL

ประเภทงาน:

งานประจำ

• Collaborate with cross-functional teams to identify and prioritize business opportunities that can be addressed through data-driven solutions.
• Extract insights from large and complex datasets using a variety of tools and techniques.
• Develop and deploy predictive models and algorithms using statistical AI/machine learning, deep learning and generative AI modeling.
• Present findings and recommendations to stakeholders in a clear and compelling manner.
• Implement data-driven solutions in various environments, including integration with existing systems and processes.
• Stay up to date on the latest development in data science and bring new idea and technology to the team.
• Monitor the performance of deployed models together with algorithms and continuously improve model accuracy over time.
• Bachelor s or Master s degree in data science, Computer Science, Statistics, or related field.
• 4+ years of experience as a Data Scientist, with a focus on industries.
• Descriptive Analytics.
• Predictive & Prescriptive Analytics (Machine learning, Forecasting, Optimization, choosing the best path).
• Strong programming skills in Python and SQL along with libraries and frameworks for machine learning and statistical test, and their variation among databases.
• Experience with statistical and machine learning techniques.
• Proficiency in optimizing large, complicated SQL statements and code versioning tools such as Git, Mercurial, SVN or others.
• Experience with data visualization tools such as Looker Studio, Tableau, and Power BI.
• Strong problem-solving and communication skills.
• Experience with Cloud technology and databases (Cloud AWS, Azure, GCP).
• Extensive knowledge of Customer relationship management, Customer experience, Next best action, Credit scoring, and Insight & pattern discovery.
• Location: True Digital Park, Bangkok.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Biology, English

ประเภทงาน:

งานประจำ

• Accelerated Development: Our venture studio model streamlines the typically lengthy process of biotech innovation. With access to expert operational, legal, finance, and HR teams, you can bypass common startup hurdles and focus immediately on scientific advancement and strategic growth..
• Integrated Resource Access: You will have direct access to state-of-the-art labs, cutting-edge infrastructure, and specialized development and product teams tailored to your project s unique needs facilitating rapid iteration and optimized drug develop ...
• Collaborative Synergies: Joining our venture studio connects you with a vibrant ecosystem of experienced entrepreneurs, distinguished scientists, and industry leaders. This collaborative environment encourages cross-pollination of ideas, mentoring opportunities, and strategic partnerships, enhancing both innovation and your professional growth..
• Strategic Support and Investment: Beyond initial capital, Great Good provides ongoing strategic guidance and operational support. Our comprehensive back-office resources help manage day-to-day complexities while our investment in your venture ensures you have the means to scale quickly and capture market opportunities..
• Enhanced Commercial Potential: By working under the venture studio umbrella, you not only drive scientific breakthroughs but also elevate the commercial viability of your project. Our model is designed to maximize innovation in drug therapeutics and generate significant market value, positioning your venture for long-term success and impactful industry leadership..
• About the Role.
• We are seeking a motivated and experienced CRISPR Scientist to join our dynamic R&D team and drive the design, execution, and analysis of our gene editing projects. If you are passionate about translating innovative science into transformative medicine, we encourage you to apply..
• Design and execute experiments using various CRISPR-Cas systems (e.g., OPENCRISPR1, Cas9, Cas12a, Base Editors, Prime Editors) for gene editing in mammalian cells, including primary cells and immortalized cell lines. This scope of work is expected to include using machine learning platforms to screen, analyze, synthesize and test enzymes of the Cas and deaminase classes as well as nickase conversion..
• Develop and optimize methods for gRNA design, delivery (e.g., lipofectamine, lipid nanoparticles, electroporation), and assessment of editing efficiency and specificity using PCR and NGS technologies..
• Analyze and interpret complex data sets, including molecular biology assays (qPCR, Western Blot, ELISA), next-generation sequencing (NGS) data for on-target and off-target editing, and functional cell-based assays..
• Culture and manipulation of various cell lines (HEK-293, HeLa, iPSCs, and T cells), with a focus on validating utility of novel complexes to perform precise editing in cells..
• Troubleshoot experimental hurdles and contribute creative solutions to accelerate project timelines. This will include minimizing off-target and bystander editing by correct selection of PAMs and other critical sequences..
• Document experiments in electronic lab notebooks and present results clearly at internal meetings..
• Stay current with the latest scientific literature, technology advancements, and regulatory requirements pertaining to CRISPR and gene therapy..
• Collaborate effectively with interdisciplinary teams including technicians and scientists, in the immunology, cell biology, drug development and bioinformatics fields..
• Required.
• Ph.D. in Molecular Biology, Cell Biology, Genetics, Biochemistry, or a related field..
• Minimum of 2+ years of relevant post-doctoral or industry experience focused on gene editing techniques, specifically CRISPR technology. Experience in Base Editors and human T cells is desired..
• Deep expertise in mammalian cell culture techniques, including transfection and viral transduction..
• Proficiency in molecular biology techniques, including DNA/RNA isolation, PCR/qPCR, cloning, and gel electrophoresis..
• Demonstrated experience with assays used to quantify gene editing outcomes (e.g., T7 Endonuclease I assay, NGS library preparation and analysis)..
• Excellent written and verbal communication skills with the ability to present complex data effectively..
• Preferred.
• Industry experience in a Biotech or Pharmaceutical setting..
• Experience with non-Cas9 CRISPR systems (e.g., Base/Prime Editors, dCas9 fusions) is a strong plus..
• Familiarity with in vivo delivery methods and animal models..
• Experience with high-throughput screening and automation..
• Experience with CAR-T cell development.
• Experience with antiviral therapeutics..
• What We Offer.
• Competitive compensation and equity package in an early-stage, high-growth startup..
• The opportunity to make a significant impact on developing next-generation therapies..
• A collaborative, fast-paced, and intellectually stimulating culture..
• To Apply, please submit your CV and a cover letter detailing your relevant experience to [email protected] or Application Link: https://forms.gle/Ewgtmcgwuv6B5KJ66..

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Statistical Analysis, Statistics, Python

ประเภทงาน:

งานประจำ

• Architect and deploy sophisticated statistical models and advanced analytics solutions that transform customer understanding through segmentation, predictive modeling, and behavioral analysis.
• Lead the development of custom data-driven solutions leveraging machine learning and advanced analytics for diverse marketing applications.
• Design and implement analytics frameworks that enhance campaign performance, enable real-time insights, and optimize customer journey understanding.
• Collaborate closely with MarTech platforms, CRM systems, and data infrastructure to seamlessly integrate analytics capabilities into marketing strategies.
• Partner with data engineers and technology teams to build scalable analytics solutions adaptable across different industries and business needs.
• Conduct advanced analytics and statistical analysis to uncover actionable insights and predictive patterns that drive measurable business outcomes.
• Leverage and integrate emerging AI models and technologies to enhance analytical capabilities and translate complex findings into strategic business recommendations.
• Lead innovation initiatives by staying at the forefront of data science advancements and identifying new opportunities for analytical solutions that command premium positioning and drive revenue growth.
• Qualifications Advanced degree in Data Science, Statistics, Computer Science, or related field.
• 5+ years of experience in Data Science.
• Expert proficiency in Python, SQL, and modern data science frameworks (scikit-learn, statistical modeling tools).
• Proven track record in developing and deploying customer segmentation, predictive modeling, and advanced analytics solutions.
• Strong foundation in statistical analysis, customer analytics, and machine learning.
• Experience with cloud platforms (AWS/GCP/Azure) and data pipeline development.
• Familiarity with CDP and analytics platforms.
• Advanced knowledge of data visualization tools (Tableau, Power BI) and analytics dashboarding.
• Experience working with and integrating AI models into business applications.
• Demonstrated ability to translate complex analytical insights into actionable business strategies and recommendations.
• Demonstrated ability to drive innovation and deliver business impact in fast-paced environments.
• Growth mindset with exceptional collaborative and adaptive capabilities.
• Strong foundation in experimentation and A/B testing frameworks.
• Outstanding analytical and problem-solving capabilities.
• Excellent communication skills across diverse stakeholder groups.
• Natural collaborator with innovative mindset and continuous learning orientation #LI-CW1.
• Location: Bangkok Brand: Dentsu Cxm Time Type: Full time Contract Type: Permanent

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Research, Python, SQL

ประเภทงาน:

งานประจำ

• Develop machine learning models such as credit model, income estimation model and fraud model.
• Research on cutting-edge technology to enhance existing model performance.
• Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
• Develop sentimental analysis model in order to support collection strategy.
• Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
• 2-5 years of experiences in programming languages such as Python, SQL or Scala.
• 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
• Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
• Experience with source version control (Git, Bitbucket).
• Proven knowledge on Rest API, Docker, Google Big Query, VScode.
• Strong analytical skills and data-driven thinking.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Nice to have.
• Experience in image processing or natural language processing (NLP).
• Solid understanding in collection model.
• Familiar with MLOps concepts.

ทักษะ:

Data Analysis, Big Data

ประเภทงาน:

งานประจำ

• Work collaboratively with data engineers and data architects to acquire new data from internal and external source systems.
• Support business initiatives and projects by performing data wrangling and exploratory data analysis, discovering trends and patterns, building predictive models and machine learning algorithms, etc., based on the CRISP-DM methodology and agile approach.
• Stay up to date with big data and analytical techniques, such as machine learning, d ...
• Provide analytics expertise, directions and guidance to business leads through turning insights into business action so as to improve sales and customer profitability.
• Present summary of analyses including data monetization on large datasets using advanced analytics tools and data visualization techniques.
• Lead implementation of AI models and business rules incorporated in automated business processes.

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

HACCP, Legal, Assurance

ประเภทงาน:

งานประจำ

• Effectively support the OU product and package innovation agenda in foods by ensuring standards and process are adhered to during the innovation process, delivering quality and food safety by design&quot.
• Participate in Tech Stage Gate meetings ensuring quality and food safety guardrails have been addressed in the stage gate process.
• For complex innovations, provide needed technical support at plant level to ensure start-up readiness and develop quality system and testing protocols/methods which sho ...
• Ensure appropriate specifications have been developed, that HACCP transfer documents for new initiatives have been completed and that appropriate guardrails for food safety are in place.
• Provide needed oversight and governance by ensuring our quality and food safety standards and protocols are effectively implemented in our manufacturing facilities, and that they are maintained across the supply chain to ensure our products are safe, legal and meet consumer-defined design across our total portfolio of products - including execution of Quality Audits, PME and CQA testing.
• Effectively collaborate with BU Quality Control (Operations) to jointly develop Quality and Food Safety objectives and targets that deliver on our promise to provide consumers with safe and wholesome products of outstanding quality, consistency and value.
• Harmonize the quality management programs including testing methods across the region and ensure that an updated and accurate central repository of specifications and standards is maintained.
• Provide needed oversight and governance of established quality systems, managing the issuance of concession / variances.
• Provide technical support in the assessment of 3rd party contract manufacturing sites for new products, performing needed capability assessment for new manufacturing platforms and ensuring appropriate design quality and food safety principles have been implemented.
• Deliver quality and food safety training programs and tools, meeting specific regional needs that support and facilitate their implementation.
• Qualifications:A bachelor s degree in science with good understanding of beverage and food manufacturing.
• A minimum of 6-7 years of experience in Quality Assurance, Quality Control, and/or related experience with a proven track record in supporting the launch of new products, preferably for a multinational company.
• Demonstrated leadership in Quality Assurance, Quality Control, new product development, manufacturing and/or R&D Technical position requiring interface with all of these disciplines.
• Must have the ability to influence the field and senior stakeholders across the BU organization.
• Familiarity and comfort with working across varied, diverse, cultures and specifically have the ability to understand and leverage geographic and cultural drivers.
• Excellent written and oral communication skills, with the ability to represent PepsiCo internally and externally. Willingness and flexibility to travel.
• Strong leadership skills, assertive personality to drive the FSQA agenda effectively with R&D & SC stakeholders.