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Skills:

Research, Data Analysis, Risk Management

Job type:

Full-time

• Consolidate actionable medical insights from the country that can help inform company strategies.
• Translate the Global Medical Goals and Strategies into research, data analysis, scientific communication, educational, and other tactics and solutions that improve patient outcomes and enhance access in their country.
• Consolidate actionable medical insights from the country that can help inform company strategies.
• Communicate both scientific and business needs credibly, appropriately and effectively across a variety of internal and external stakeholders at all levels.
• Build trust with external scientific community via peer-to-peer scientific exchange, research and educational collaborations, interactions with scientific societies and health organizations, publications, or other. Provide therapeutic/functional training to assigned teams and affiliate functions.
• Develop and execute country medical educational programs and symposia.
• Lead country advisory boards and expert input forums to inform company strategy.
• Participate in and contribute significantly to professional organizations, academic or regulatory working teams Leads MSL (Medical Science Liaison) / team of MSLs assigned to asset.
• Collaborate in the successful management of asset safety or quality issues, i.e. contribute content and strategy in regulatory responses and interactions, risk management planning and implementation.
• Act with ethics & integrity; provide non-promotional, balanced, reliable and scientific information, follow strictly company standards and local regulations.
• MD, PhD, PharmD or Advanced Pharmacist degree is required; recognized expertise through 2-3 yrs. clinical and/or research experience in therapy area is desired Experience of local pharmaceutical industry guidelines, regulatory/reimbursement framework and clinical research guidelines.
• Strategic thinking, specifically related to asset value proposition, and clinical and value evidence.
• Developing a network of scientific leaders and successful interactions with other key stakeholders (public groups, government officials, medical professional organizations) in therapy areas Proven ability to effectively communicate information at country management level, with public groups and to scientific leaders.
• Excellent interpersonal, analytical, communication (written as well as oral) and results oriented project management skills.
• Strong prioritization skills and ability to understand how decisions fit into the broader context of corporate strategies In a matrix environment, able to effectively collaborate across functions.
• Competency Attributes.
• Team work & collaboration skills Communication, presentation and negotiation skills Systematic Thinking Planning and Project Management Problem Solving Fluent spoken and written English Familiar with IT application Ability to travel upcountry and overseas.
• Current Employees apply HERE.
• Current Contingent Workers apply HERE.
• Search Firm Representatives Please Read Carefully
• Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
• Regular
• No relocation
• Not Applicable
• 03/31/2025A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
• Requisition ID:R336677.

Skills:

Data Analysis, Finance, SQL, English

Job type:

Full-time

• Data Analysis: Conduct in-depth analysis of retail and wholesale business data to address specific business questions and challenges.
• Insight Generation: Interpret results from dashboards and data analyses to develop actionable insights and strategic recommendations.
• Requirement Gathering: Identify business problems, gather requirements, and propose potential solutions, including leveraging AI to enhance business operations.
• ML Model creation: Create data analytic model including both deterministic and machine learning model.
• AI vendors coordination: Collaborate with external AI suppliers to align project objectives with technological capabilities.
• Cross-Departmental Collaboration: Work with various departments to develop and implement data-driven strategies that optimize business processes and decision-making.
• Communication: Act as a liaison between stakeholders and AI vendors, ensuring clear communication and understanding of project requirements.
• Data analytics and AI Strategy Design: Design and recommend how Business Intelligence (BI) and AI technologies can address business problems and provide further insights.
• Decision-making support: Present key findings from own analysis and strategic recommendations to business counterparts and senior management, focusing on project approaches and strategic planning.
• Master's degree in Finance, Business, Engineering, or a related field.
• Strong business acumen, with a deep understanding of retail and wholesale business.
• 3+ years of proven experience as a data analytic role (Retail or E-Commerce business is preferable).
• Hands-on Experience in SQL, data cloud platform (e.g., Databricks, Snowflake, GCP, or AWS), and high proficiency in Excel.
• Good Knowledge of Statistics.
• Experience in Python (Pandas, Numpy, SparkSQL), Data Visualisation (Tableau, PowerBI) is a plus.
• Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.
• Fluent in Thai and English.
• Having a good attitude toward teamwork and willing to work hard.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

Skills:

ETL, Python, TensorFlow

Job type:

Full-time

• Develop and deploy machine learning models for demand forecasting, customer segmentation, pricing optimization, and inventory management.
• Work with large-scale datasets and implement efficient feature engineering pipelines to enhance model performance.
• Use PySpark to process and analyze large datasets in a distributed computing environment.
• Collaborate with data engineers to build scalable data pipelines and ensure data quality.
• Implement MLOps best practices for model deployment, monitoring, and retraining in production.
• Design ETL workflows for preprocessing and transforming structured and unstructured data.
• Communicate findings and recommendations to business stakeholders in a clear and actionable manner.
• Stay up to date with the latest advancements in AI, machine learning, and data engineering.
• 5+ years of experience in data science, machine learning, or applied AI.
• Strong programming skills in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch).
• Hands-on experience with PySpark for big data processing and analysis.
• Experience with SQL for querying large datasets efficiently.
• Familiarity with cloud platforms (AWS, GCP, Azure) and distributed computing frameworks.
• Knowledge of MLOps practices (model versioning, CI/CD for ML, monitoring, automation).
• Experience working with ETL workflows and data engineering pipelines.
• Strong understanding of statistical analysis, time-series forecasting, and clustering techniques.
• Excellent problem-solving and communication skills, with the ability to translate data insights into business value.
• Experience in the retail industry or working with e-commerce/consumer data.
• Familiarity with tools like Databricks, Airflow, MLflow, and Docker/Kubernetes.
• Experience with deep learning frameworks for NLP or computer vision.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

Skills:

Statistics, Data Analysis, SQL

Job type:

Full-time

• Data Science Foundations: Strong foundation in data science, statistics, and advanced data analytics, including data visualization to communicate insights effectively.
• Exploratory Data Analysis (EDA): Skilled in performing EDA to uncover patterns, detect anomalies, and generate meaningful insights from data.
• Experimentation & Testing: Skilled in designing A/B tests or other experimental designs to measure business impact, analyze results, and communicate findings clearly to stakeholders.
• Machine Learning & AI.
• Model Development & Deployment: Experience in building, deploying, and optimizing machine learning models on large datasets.
• Generative AI (GenAI): Opportunity to work on GenAI projects that drive innovation and impactful business solutions.
• Problem-Solving & Collaboration.
• Analytical & Problem-Solving Skills: Strong analytical and problem-solving abilities focused on deriving actionable insights from data.
• Team Collaboration: Ability to work effectively both independently and as part of a collaborative team, contributing to shared project goals.
• Technical Expertise.
• Proficiency in Big Data Technologies: Expertise in Spark, PySpark, and SQL for large-scale data processing focused on feature creation for machine learning models and data analysis tasks.
• Programming Skills: Strong proficiency in Python for data analysis and machine learning (including libraries like Pandas, PySpark, Scikit-learn, XGBoost, LightGBM, Matplotlib, Plotly, Seaborn, etc.).
• Python Notebooks: Familiarity with Jupyter, Google Colab, or Apache Zeppelin for interactive data analysis and model development.
• Platform Experience: Experience in using PySpark on cloud platforms such as Azure Databricks or other platforms (including on-premise) is a plus.
• Education & Experience.
• Educational Background: Bachelor s or advanced degree in Data Science, Statistics, Computer Science, Computer Engineering, Mathematics, Information Technology, Engineering, or related fields.
• Work Experience: At least 2-3 years of relevant experience in Data Science, Analytics, or Machine Learning, with demonstrated technical expertise and a proven track record of driving data-driven business solutions.

Skills:

Product Development, Statistics, English

Job type:

Full-time

• Drive the creation of robust business intelligence systems to provide insights that inform strategic decisions.
• Develop and implement data analytics solutions that improve business processes and customer experiences.
• Ensure the accuracy, integrity, and availability of data used for business intelligence and decision-making.
• Manage the deployment of big data technologies and tools to enhance data processing capabilities.
• Lead initiatives in big data analytics, ensuring the extraction of valuable insights from large, complex datasets.
• Oversee the implementation of predictive analytics and data discovery techniques to anticipate trends and opportunities.
• Guide the development and deployment of machine learning models and AI algorithms for various business applications.
• Stay abreast of the latest advancements in machine learning, AI, and data science to ensure the company remains competitive.
• Collaborate with IT and engineering teams to integrate AI solutions into existing systems and platforms.
• Work closely with cross-functional teams, including IT, marketing, product development, and operations, to drive data-driven decision-making.
• Bachelor's degree in engineering, computer science, math, physics, statistics, or another highly quantitative field, such as machine learning, business analytics, statistics, mathematics, or a related field.
• Solid understanding and hands on experience in machine learning and data mining.
• Experience with statistical programming languages and database software.
• Good knowledge of data structure and algorithms.
• Sensitive to data and business, passionate about technical challenges, have excellent critical thinking skills.
• Ability to think independently and communicate complex ideas to less technical persons.
• Excellent command of English in both verbal and written forms.

Experience:

3 years required

Skills:

Biology

Job type:

Full-time

• Visit targeted doctors in Hospitals and present the brand's products to increase prescriptions and develop a global approach to the patient (พบแพทย์โรงพยาบาล นำเสนอผลิตภัณฑ์ในการเพิ่มการสั่งจ่ายยาเพื่อให้ตรงความต้องการของผู้ถูกรักษา).
• Promote the brands' added value by emphasizing the technical and scientific characteristics of the products (โปรโมทแบรนด์และผลิตภัณฑ์โดยสามารถวิเคราะห์ลักษณะของผลิตภัณฑ์ได้อย่างลึกซึ้งและชัดเจน).
• Respect target coverage, visit frequency and product cycles to make systematic use o ...
• Prepare visits and carry out qualitative and quantitative activity reporting (กิจกรรมต่าง ๆ ของการสนับสนุนทางการแพทย์ รวมถึงการทำรายงาน.
• You HaveBachelor degree in Science, Pharmacy, Nursing, Biology or any related field (จบการศึกษาปริญญาตรี สายวิทยาศาสตร์, เภสัช พยาบาลหรือที่เกี่ยวข้อง).
• At least 3 years of experiences as Medical Representative (มีประสบการณ์ในการขายยา, เวชสำอางค์, อย่างน้อย 3 ปี).
• Sales driven and love challenges (ชอบความท้าทายและเพิ่มยอดขาย).
• Good attitude and open to learn & develop itself (ทัศนคติดี พร้อมเรียนรู้และพัฒนาตนเอง).
• Why us?
• We will support you through a tailor-made learning & development journey where you will receive constant career advice to empower you to navigate through and reach the Senior Leadership role of your dreams. Progressive leadership track - opportunities for growth & development.

Experience:

5 years required

Skills:

Research, English

Job type:

Full-time

• Lead or co-lead moderately complex projects, managing time and resources effectively, and provide guidance within the Department.
• Apply skills and discipline knowledge to contribute to departmental work, making decisions to resolve moderately complex problems and develop new options.
• Operate independently in ambiguous situations, receiving instruction on unusual or complex problems, and determining objectives of assignments.
• Review your own work, seek directional review from others, and mentor colleagues by reviewing their work.
• Utilize judgment and experience to potentially become a resource for others, delivering high-level medical and scientific expertise to stakeholders.
• Offer medical and scientific inputs for the development of launch plans, plans of action (POAs), and activities for responsible products.
• Advise on scientific areas for organizing major symposia and medical advisory board meetings, and support medical issues related to responsible products.
• Contribute to the development of hospital formulary listing packages and ensure appropriate training on medical aspects of products and related diseases.
• Provide medical information, comments, advice, and recommendations to internal and external colleagues, staying updated on local medical regulation changes.
• Offer expertise to cross-geography medical projects, prepare study protocols and budgets, execute studies, complete reports, and provide input on program feasibility and Adverse Event reports.
• Qualification Medical Degree (M.D., MBBS or equivalent) or Advanced degree in Medical Sciences e.g. Pharmacy, Life Sciences e.g. Pharmacy or related field.
• Good medical and scientific knowledge for the defined therapeutic area(s).
• Good understanding about the International and local pharmaceutical business and marketing practices.
• Good understanding of the local medical and regulatory environment.
• At least 5 years of experience in pharmaceutical industry in relevant medical, research & developemnt functions.
• Proficiency in English and good computer usage.
• LI-PFE Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Medical

Experience:

5 years required

Skills:

English

Job type:

Full-time

• Organize training on products/services, scientific areas, brand and Divisional values, doctor-centric approach (SIMAC) and the medical, competitive, and regulatory environment.
• In charge of Medical Business Academy roll out and implementation, working in close collaboration with HR learning department.
• Define team objectives and follow-up, in line with Medical Management.
• Ensure training in internal and external with ethical standards regarding relations with health professionals.
• Upskills whole organization on medical topics.
• You Have:Bachelor's degree in major Pharmacy or Science (master's degree is a plus).
• Minimum 5 years in Sales/ Training Manager or management role in sales or marketing.
• Proficient in sales processes, skills, and techniques.
• Proven track record in creating and implementing training programs, particularly in sales training for teams and channel partners.
• Extensive technical product knowledge and strong business acumen.
• Experience in curriculum development, designing, implementation, and delivering both in-person and online training programs.
• Strong understanding of product specifications and competitive offerings.
• Ability to analyze training needs and conduct competitive analysis.
• Highly effective communication skills, both written and oral.
• Proficiency in English.
• Why us?
• We will support you through a tailor-made learning & development journey where you will receive constant career advice to empower you to navigate through and reach the Senior Leadership role of your dreams. Progressive leadership track - opportunities for growth & development.

Skills:

Data Analysis, Finance, Salesforce

Job type:

Full-time

• Refine and enhance sales processes, leveraging your expertise for maximum operational efficiency.
• Dive deep into data analysis to unearth strategic insights that inform our sales direction.
• Provide forecasting that drives precision in planning and resource utilisation.
• Align and execute sales strategies in tight collaboration with sales leadership.
• Ensure optimal usage and maintenance of sales tools and CRM systems, with a keen eye on performance metrics.
• Build strong ties across functions, uniting marketing, finance, and more for company-wide synergy in achieving business goals.
• The experience we're looking for.
• Demonstrated capability in sales operations, backed by a proven track record of driving results.
• Analytical prowess, especially with tools designed for data dissection and interpretation.
• Experienced in crafting and executing comprehensive sales strategies.
• Exceptional communicator, capable of educating and collaborating with stakeholders at all levels.
• Well-versed in the practicalities of CRM and sales technology solutions, Salesforce knowledge being a significant plus.
• Adept in leadership, with the capacity to nurture and manage a team dedicated to sales operations.
• The skills for success.
• Drive Innovation, Analytical skills, Consumer Insights, Presentation skills, Product sustainability, Category Strategy, NEW Product Development, Brand Strategy, Business Intelligence, Data Analytics, Salesforce Effectiveness.
• What we offer.
• With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way.
• We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy.
• Equality.
• We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you.
• All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.

Experience:

4 years required

Skills:

Statistics, Python, SQL

Job type:

Full-time

• 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.

Experience:

1 year required

Skills:

Data Analysis, Digital Marketing, Industry trends

Job type:

Full-time

• Department: Information Technology.
• Company: บริษัท จีเอ็มเอ็ม มิวสิค จำกัด (มหาชน).
• Perform large-scale data analysis and develop effective statistical model for time series, segmentation, classification, pattern recognition, optimization, etc. on digital data (e.g., Web, App, Line, other media platform etc.).
• Develop, build and test statistical and computational models that serve as a key input for digital marketing tools.
• Identify actionable insights and suggest recommendation for data-driven marketing campaigns.
• Communicate findings and build buy-in with key stakeholders through data visualizations.
• Interact and collaborate with product and marketing managers to provide impactful analysis and insights that align with business objectives.
• Work closely with other BI functions, data analyst and campaign operations to provide end-to-end analytical solutions and proactively create and test decision rules for digital marketing campaigns.
• Collaborate with internal teams on defining population segments to support personalized consumer experiences.
• Provide business requirements and collaborate with internal teams on data capture strategy that will support advanced analysis and insights on consumer behavior.
• Provide ongoing insight into industry trends in web & app analytics, site optimization, and customer segmentation.
• 1-3 years of experience in Data Scientist for solving analytical problems using quantitative approaches.
• Excellent understanding of fundamentals of statistics.
• Advanced in Python.
• Strong experimental design and analysis skills.
• Familiar with time series analysis, forecasting, and machine learning techniques, previous hands-on experience is a plus.
• Ability to manipulate and analyzing complex, high-volume, high-dimensionality data from varying sources.
• Ability to communicate complex analysis in a clear, simple, and actionable manner.
• Working knowledge of SQL and relational databases and analysis tool.
• ประสบการณ์ 2 ปีขึ้นไป.
• จำนวน 1 อัตรา.

Experience:

3 years required

Skills:

Research, Product Design, Problem Solving

Job type:

Full-time

• Participates in research and development activities to understand product CTQ, design, theory and lab process. Utilizes established mathematical and scientific techniques to compile and analyze data. Writes technical reports detailing procedures, outcomes, and observations.
• Leads the design to production activity, ensures an integrated technology transfer from development to production, and supports the manufacturing process setup, risk mitigation, and control planning for new products.
• Build up lab capability of product and application evaluation in the plant.
• Guide product design team on formulation and process optimization and guide production team by material knowledge.
• Collect information of competitors, end users and industries, monitor competitors activities and make analysis/proposals for counteraction.
• Problem solving for customers, material and process analysis for root cause identification.
• Regularly contact with global / local commercial and technical team on project development and support activities.
• Cross-function communication on projects.
• MUST HAVE: Master degree or above in polymer, materials, organic chemistry, applied chemistry, chemical engineering, or related. Experience in thermal management materials or related industry would be preferred.
• Minimum 3 years of industry solid experience in the composite material formulation, scale-up implementation and production process.
• Strong knowledge of raw material and process correlation to composite material properties.
• WE VALUE Systematic planning, execution, and documentation.
• Open mind and quick learning.
• Strong communication skills.
• Ability to work with inside cross-functional and cross-region teams.
• Who We Are The Future Is What We Make It at Honeywell. From sustainable aviation fuel and life-saving healthcare sensors to collaborating on every NASA space mission since the 1950 s, over 100 years of innovation has always been driven by an investment in our people. Learn more about Honeywell: https://www.youtube.com/watch?v=CG-rmG0eKLk
• Discover More Start your career by making an impact and real connections with some of the most meaningful challenges around. When you join Honeywell, you become a member of our performance culture comprised of diverse leaders, thinkers, innovators, dreamers, and doers who are changing the future.
• Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.
• For more information on how we process your information in the job application process, please refer to honeywell.com/us/en/privacy-statement.
• If a disability prevents you from applying for a job through our website, e-mail [email protected] No other requests will be acknowledged.
• Copyright 2025 Honeywell International Inc.
• Additional Information.
• JOB ID: req482988.
• Category: Engineering.
• Location: 32 Moo 8 Srirachi, Chonburi Industrial Estate,Chonburi,BANGKOK,20110,Thailand.
• Exempt.

Skills:

Big Data, Research, Statistics

Job type:

Full-time

• Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
• Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
• Work with developers and a variety of business owners to deliver daily results with the best quality.
• Research discover and harness new ideas that can make a difference.
• What You'll Need to Succeed.
• 4+ years hands-on data science experience.
• Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
• Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
• Can lead, work independently as well as play a key role in a team.
• Good communication and interpersonal skills for working in a multicultural work environment.
• It's Great if You Have.
• PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields.
• Experience in NLP, image processing and/or recommendation systems.
• Hands on experience in data engineering, working with big data framework like Spark/Hadoop.
• Experience in data science for e-commerce and/or OTA.
• We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

Experience:

2 years required

Skills:

Research, Python, SQL

Job type:

Full-time

• 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.

Skills:

Research, Statistics, Python, English

Job type:

Full-time

• Apply statistical and machine learning methods to large, complex data sets to draw insights and provide actionable recommendations.
• Solve complex problems on both technical and business sides using advanced analytical methods.
• Work with Engineering teams to implement end-to-end process from model development to testing, validation, and deployment.
• Research and develop new quantitative models and frameworks to enhance the company s data science capability.
• Basic Qualifications Bachelor s degree in Engineering, Computer Science, Math, Physics, Statistics or other areas that are highly quantitative.
• Experience with statistical programming languages (e.g., Python, R, pandas) and database software (e.g., SQL, PySpark).
• Knowledge in statistics (e.g., hypothesis testing, regression) and machine learning.
• Strong analytical problem-solving capabilities.
• Preferred Qualifications Master s or PhD degree in a quantitative discipline.
• Experience applying machine learning and statistical methods to large datasets.
• Solid understanding of advanced statistics and machine learning practices.
• Experience in one or more specialized machine learning areas (e.g., NLP, deep learning, recommendation systems, reinforcement learning).
• Outstanding coding skills or software development background.
• Ability to think independently and communicate complex ideas to less technical persons.
• Excellent command of English in both verbal and written forms.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

Experience:

8 years required

Skills:

Product Development, Product Design, Legal

Job type:

Full-time

• Generate and translate product concepts to technically feasible and consumer-relevant products using information from various products testing during all phases of product development.
• Applies expertise of ingredient functionality, interactions and other fundamental food science principles for optimum product design.
• Applies knowledge of nutritional and medical science and understands implications to product design.
• Demonstrates ability to integrate various unit operations to overall product functionality for scale-up to manufacturing.
• Effectively manages elements of intellectual property of formulations.
• Utilizes structured process of analysis, design, contingency planning and resolution of product development problems.
• Effectively communicates technical topics to various audiences to influence decisions.
• Effectively utilizes networking relationships with internal R&D staff and suppliers to acquire other technical knowledge and expertise.
• Utilizes all pertinent regulatory guidelines in all aspects of product formulation to ensure legal compliance and product safety.
• The experience we're looking for.
• Advanced degree in Food Science, Food Technology, Food Engineering, Chemical Engineering, Chemistry, Nutrition or related discipline. Master s degree/PhD is an advantage (not a requirement).
• Minimum 8 years of experience in a product development environment with at least 2 years of experience in managing a team of product development scientists.
• Proven leadership, stakeholder management and interpersonal skills, focusing on influencing outcomes through persuasion and impact rather than formal reporting line accountability.
• Proven interaction with external customers in order to identify and understand internal and external customer needs.
• Successfully led product innovation from ideation to commercialization, maximizing opportunities to secure intellectual property.
• Strong applied knowledge in Dairy Science, Food Science, Project Management, Nutrition, Formulation Development, interpretation of food regulations.
• Knowledge of Asia Regulatory environment is an advantage.
• Experience in management of projects and intellectual property with third party manufacturers is an advantage.
• The skills for success.
• Business Strategy, Task Execution Under Pressure, Makes strategic Business Decisions, Business Acumen, Commercial Awareness, Objective Setting, Accountability, Consumer Insight, Creative Direction, R&D, Change Leadership, Product Lifecycle Management, Business Partnership, Collaboration and partnership building, Relationship Management, Adapt to changes in technological development plans, Ability to challenge the status quo and propose improvement, Innovation Processes, Digital transformation for R&D, Quality and Manufacturing.
• What we offer.
• With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way.
• We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy.
• Equality.
• We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you.
• All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.