Senior Data Scientist

Data Science Senior Manager, Measurement

Data Scientist

Principal Data Scientist

USPBA Data Scientist C12

Food Scientist Savory

Data Analyst

Senior Data Engineer 263935BR

Data Analyst (1 year contract)

Consultant/Associate Consultant - O365/Azure/AWS

Responsibilities:<ul><li>Serve as the primary source of data insights supporting internal and external constituencies</li><li>Analyse and translate data findings into meaningful, actionable insights – including synthesizing relevant insights from different customer touchpoints and data sources.</li><li>Lead, design, and implement quantitative analytical frameworks, including scalable predictive models, customer segmentation, and advertising optimization that improve business performance and customer engagement.</li><li>Institute and adopt best practices in data science, platforms, and approaches.</li><li>Establish internal organizational standards and benchmarks.</li><li>Work with other teams to understand business needs, document data and data integration requirements, and resolve conflicting business/data architecture rules. Ensure compliance with internal customer contact governance policies and drive closed-loop measurement through smart data capture.</li><li>Become an internal authority on data tools and resources</li><li>Support ad-hoc business intelligence and other strategic initiatives</li></ul>&nbsp;Requirements<ul><li>PhD or MS degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science, or related field.</li><li>Minimum 5 years of hands-on experience in data science, including developing and production rising data science models</li><li>Demonstrated expertise in developing and implementing a full range of analytical techniques to address commercial challenges. Proficiency in at least one statistical analysis tool.</li><li>Demonstrated experience with distributed databases and query languages. Proficiency in at least one programming language (preferably Java, C++, Python).</li><li>Must possess the exceptional business judgment to identify core business objectives; synthesize and interpret disparate quantitative information, and develop commercial insights for key stakeholders</li></ul>

Responsibilities: <ul><li>Develop state of the art causal learning, deep learning, and predictive techniques to help the organization understand the performance of omnichannel campaigns and optimize spend.</li><li>Run regular A/B experiments and perform statistical analyses to measure the effects of these experiments.</li><li>Work with other data scientists, engineers, and product partners to develop new machine learning approaches, and measurement strategies.</li><li>Manage and guide data science and data engineering elements of AI/ML projects related to revenue prediction and optimization across commercial and marketing channels (TV, mail, email, web, social, mobile, digital, etc.).</li><li>Collaborate within cross-functional teams to develop efficient measurement use cases (such as revenue simulation (what-if scenarios)) and define goals and deliverables.</li><li>Leverage forecasting and simulation-based modeling approaches to provide optimization recommendations of marketing and business plans.</li><li>Conduct advanced analysis on various marketing efforts to gauge performance, impact, and effectiveness against the desired results.</li><li>Drive the development, deployment, and industrialization of enterprise-level Measurement algorithms to make business impact from structured and unstructured data for our brands and the different therapeutic areas.</li><li>Act as subject matter expert for applicable data science and other advanced analytical methodologies, programs, and projects in relation to business impact measurement: revenue optimization, marketing mix, forecasting, campaign and tactic testing, etc.</li></ul> Requirements: <ul><li>We are looking for a seasoned leader and data scientist with an extensive track record in designing, developing, and evaluating ML models which focus on optimization of marketing strategies and tactics, customer journey and perceptions within campaigns, and revenue impact.&nbsp;</li><li>As a Data Science Senior Manager - Measurement, you: Are energized to work collaboratively with partners and stakeholders across the business to apply, innovate, and deploy machine learning algorithms and data science methods for new measurement.</li><li>Will inform and empower Commercial and Medical stakeholders in marketing, finance, strategy teams, and the field to make data-driven decisions for patient benefit.</li><li>Drive to optimize investments and activities so that our client can create ever-improving, integrated customer experiences across brands and channels.</li><li>Deliver these benefits using robust and consistent methods that you have embedded in analytics products that can evolve and improve over time.</li></ul>

Responsibilities: <ul><li>Collaborate and work closely with stakeholders to identify opportunities for leveraging data to drive business outcomes.</li><li>Perform exploratory data analysis to answer business questions and inform business decisions.</li><li>Design and develop the end-to-end workflows to productionize machine learning models and be involved in the entire data science lifecycle, including the formulation of use cases, extraction of data, development and maintenance of models and tracking and communication of results.</li></ul> Requirements: <ul><li>Degree in Computer Science, Machine Learning, Business Analytics, or similar quantitative discipline.</li><li>Fluency in one or more programming languages, such as Python, SQL and SAS.</li><li>3+ years of relevant experience in working with large and complex data sets and developing machines learning solutions, preferably on an enterprise data science platform such as CDSW.</li><li>Good foundational knowledge in statistical and advanced analytics concepts such as hypothesis testing, A/B testing, sampling, and evaluation metrics.</li><li>Familiarity with one or more BI and dashboarding tool such as Qlik, Power BI or Tableau.</li><li>Experience with deep learning frameworks such as TensorFlow / PyTorch and big data technologies such as Hadoop / Spark is an advantage.</li><li>Excellent data visualization and communication skills to present findings and insights to different stakeholders, including non-technical business users.</li><li>Proactive team player and curious about data.</li></ul>

Role Description: <ul><li>We are looking for a seasoned leader and data scientist with an extensive track record in designing, developing, and evaluating ML models which focus on optimization of marketing strategies and tactics, customer journey and perceptions within campaigns, and revenue impact.</li></ul> As the Principal Data Scientist - Measurement you: <ul><li>Are energized to work collaboratively with partners and stakeholders across the business to apply, innovate, and deploy machine learning algorithms and data science methods for new measurement</li><li>Will inform and empower Commercial and Medical stakeholders in marketing, finance, strategy teams, and the field to make data-driven decisions for patient benefit</li><li>Drive to optimize investments and activities so that our client can create ever-improving, integrated customer experiences across brands and channels</li><li>Deliver these benefits using robust and consistent methods that you have embedded in analytics products that can evolve and improve over time</li></ul> Responsibilities: <ul><li>Develop state of the art causal learning, deep learning, and predictive techniques to help the organization understand the performance of omnichannel campaigns and optimize spend.</li><li>Run regular A/B experiments and perform statistical analyses to measure the effects of these experiments.</li><li>Work with other data scientists, engineers and product partners to develop new machine learning approaches, and measurement strategies</li><li>Manage and guide data science and data engineering elements of AI/ML projects related to revenue prediction and optimization across commercial and marketing channels (TV, mail, email, web, social, mobile, digital, etc.)</li><li>Collaborate within cross-functional teams to develop efficient measurement use cases (such as revenue simulation (what-if scenarios)) and define goals and deliverables</li><li>Leverage forecasting and simulation-based modeling approaches to provide optimization recommendations of marketing and business plans.</li><li>Conduct advanced analysis on various marketing efforts to gauge performance, impact, and effectiveness against the desired results.</li><li>Drive the development, deployment and industrialization of enterprise level Measurement algorithms to make business impact from structured and unstructured data for our brands and the different therapeutic areas</li><li>Act as subject matter expert for applicable data science and other advanced analytical methodologies, programs, and projects in relation to business impact measurement: revenue optimization, marketing mix, forecasting, campaign and tactic testing, etc.</li><li>Take an enterprise mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business value</li><li>Define and produce deliverables that identify opportunities to tracking and measurement plans that inform and inspire internal stakeholders and decision makers.</li></ul> Requirements: <ul><li>MS or PhD in relevant discipline: Data Science; Computer Science; Applied Mathematics, Statistics, Economics / Econometrics, Engineering or related field, preferably with a focus on Data Science and Machine Learning applications.&nbsp;&nbsp;</li><li>10+ years of relevant industry work experience (transferable skill set across multiple industries is a huge plus )</li><li>Significant (5+ years) experience in the application of machine learning to enterprise data extracted from sources such as social media, email, and finance, combined with a demonstrated ability to drive tangible results</li><li>Significant experience in most of the following quantitative fields: Machine Learning, Deep Learning, Reinforcement Learning, Mathematical Optimization, etc.</li><li>Demonstrated proficiency in leveraging open source libraries for Deep Learning models (open source frameworks like Tensorflow, Keras, and/or PyTorch)&nbsp;</li><li>Experience working with large, complex data using Hadoop or Spark or other big data platforms&nbsp;</li><li>Proficiency with industry-standard programming languages such as R or Python</li><li>Experience with other data science and cloud-computing tools and platforms (AWS, GCP, etc.)</li><li>Strong knowledge of secondary data sources including syndicated sales, promotional &amp; marketing data, social media, engagement etc.</li><li>Experience with data visualization tools such as Tableau, and/or Qlik, and/or Data Studio, etc.</li><li>Proven track record of leadership, time-management, project management, and teamwork; Strong attention to detail&nbsp;</li><li>Experience translating research or analysis to communicate (in presentations and in writing) concise and compelling business stories that influence decisions and strategy</li><li>Ability to produce scalable and robust production-quality code incorporating testing, evaluation, and monitoring.</li><li>Experience in designing and productionizing large-scale distributed systems built around machine learning models and big data.</li><li>Experience with growth (acquisition, engagement, retention) and modeling on marketing data (i.e. attribution, propensity to convert, customer journey mapping, lifetime value, incrementality) is a plus.</li></ul>

Role Description: <ul><li>The North America Consumer Bank Next Gen Analytics team analyzes millions of prospects and billions of customer level transactions using big data tools and machine learning, AI techniques to unlock opportunities for our clients in meeting their financial needs and create economic value for the bank.</li><li>The team extracts relevant insights, identifies business opportunities, converts business problems into modeling framework, uses big data tools, latest deep learning, and machine learning algorithms to build predictive models, implement solutions and design go-to-market strategies for a huge variety of business problems</li></ul> Responsibilities: <ul><li>Create best in class solutions – Design and implement stable best in class solutions using the recommended tools. Prove and improve the performance of the solution.</li><li>Communication skills – Ability to extract and understand business need from partners.</li><li>Translate and articulate technical design and performance to a senior business audience</li><li>Strategic acumen – Should possess ability to see the big picture of business, identify and understand emerging trends, challenge status quo and design goals for growth</li><li>Modeling and Tech Savvy – As an SME, stay current with the latest use cases of modeling community, machine learning algorithms, deep learning algorithms, public data sets and share knowledge within the larger team.</li><li>Statistical mind set – Proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling.</li></ul> Requirements: <ul><li>Masters with 6+ years of professional experience in fields that include but not exhaustive – Computer Science, Machine Learning, Operations Research, Econometrics, Statistics or in a highly quantitative field</li><li>Hands-on experience in applied machine learning and Big Data. Good knowledge of scripting languages e.g., Python and libraries e.g., Keras, DEAP, NLTK, BERT, TensorFlow, CausalML, XGB, SKLEARN etc.</li><li>Strong expertise in deep learning &amp; machine learning algorithms, data analysis, pattern recognition.</li><li>Structured thought process to identify, clearly articulate and solve complex problems and present them to the management in a structured and simpler form</li><li>Excellent documentation skills (design documents, methods, internal wiki).</li></ul>

Responsibilities:&nbsp;&nbsp;Assure technical support for the Sales team, Distributors &amp; Customers: <ul><li class="ql-align-justify">Generate data &amp; information to support the value and efficacy of ingredients for savory application.</li><li class="ql-align-justify">Conduct proper data analysis to draw meaningful information and conclusion from trials be communicated internally within and externally to customers.</li><li class="ql-align-justify">Train &amp; Support the Sales team, Distributors as well as participate in Key Customer projects.</li><li class="ql-align-justify">Represent and promote capabilities &amp; knowledge at international Conferences &amp; Seminars.</li></ul>&nbsp;Deliver new innovations to the APAC food market through Collaborating with Business Development, R&amp;D and Market insights:<ul><li class="ql-align-justify">Generate new ideas to develop new products &amp; propositions for the APAC market in terms of savory food application.</li><li class="ql-align-justify">Lead &amp; Participate in and/or Customer innovation projects in line with strategic direction &amp; capabilities.</li></ul>&nbsp;Administrative<ul><li class="ql-align-justify">Conduct proper housekeeping to ensure that the lab and kitchen is safe and hygienic at all times</li><li class="ql-align-justify">Manage the food lab, the raw materials/chemicals, the equipment &amp; procedures.</li><li class="ql-align-justify">Procurement of consumables and/or equipment to upgrade and ensure functionality of the lab</li><li class="ql-align-justify">Assure that all application trials are registered, reported, scientifically sound and used by the Sales &amp; Business Teams to generate/maintain customers.</li><li class="ql-align-justify">Generate meaningful reports, presentation slides and other materials to effectively communicate findings and results internally within and externally to customers.</li></ul>&nbsp;&nbsp;Requirements:&nbsp;<ul><li class="ql-align-justify">BSc/MSc degree or equivalent in Food Science, Food Microbiology and/or Food Technology.</li><li class="ql-align-justify">At least 5 years of relevant experience in the Asian food (ingredients) industry with relevant experience in savory food applications (e.g&nbsp;sauces, chilled prepared foods, fresh noodles, etc.).</li><li class="ql-align-justify">Hands-on mentality: you enjoy working with the team in the application lab for 50-60% of the time.</li><li class="ql-align-justify">Result oriented, technically skilled with a creative mindset to overcome application challenges.</li><li class="ql-align-justify">Strong technical writing and reporting skills.</li><li class="ql-align-justify">Commercially driven with creativity, passion, and performance orientation;</li><li class="ql-align-justify">A sensitive &amp; flexible team-player.</li><li class="ql-align-justify">Self-confident and self-managing, pro-active and taking initiative.</li><li class="ql-align-justify">Good communication skills: listening, understanding and presenting to both technical and commercial audiences;</li><li class="ql-align-justify">Fluent in English and Mandarin. Other APAC languages are considered a benefit.</li><li class="ql-align-justify">You reside in Singapore.</li><li class="ql-align-justify">Willing to travel up to 10-15%, mostly in the APAC region</li></ul>

As a Data Analyst working on the Regional Supply Chain team, you will use your expertise in Machine Learning to solve problems with high business impact and deploy models at scale using cutting-edge technologies to grow our business on e-com and off-line. Responsibilities: <ul><li>The Data Analyst is responsible for the delivery of reports through</li><li>Definition of the feasibility and implementation of use cases</li><li>Understanding business needs and translate them to technical terms</li><li>Developing, adapting, and executing reports for different markets/deployment as needed</li><li>Modelization, packaging and making assets available for key users</li><li>Owning and managing the solutions, app, workspace, and reports repository</li></ul> Requirements: <ul><li>Data manipulation and analysis skills: Data wrangling, crunching, preparation, visualization</li><li>Exploratory data analysis</li><li>Experience in data visualization, knowledge or interest in Power BI</li><li>Proficiency in web frameworks knowledge appreciated</li><li>Python, R, Microsoft SQL Server, GCP knowledge are a MUST</li><li>Familiar with MLOps tools: MLFlow, DVC, or similar frameworks.</li><li>SAP ECC and Supply Chains domains knowledge appreciated</li><li>Contract for the one year</li></ul>

Responsibilities: <ul><li>Active contributor to code development in projects and services.</li><li>Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.</li><li>Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance.</li><li>Responsible for implementing best practices around systems integration, security, performance and data management.</li><li>Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape.</li><li>Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.</li><li>Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners.</li><li>Develop and optimize procedures to “productionalize” data science models.</li><li>Define and manage SLA’s for data products and processes running in production.</li><li>Support large-scale experimentation done by data scientists.</li><li>Prototype new approaches and build solutions at scale.</li><li>Research in state-of-the-art methodologies.</li><li>Create documentation for learnings and knowledge transfer.</li><li>Create and audit reusable packages or libraries.</li></ul> Requirements: <ul><li>6+ years of overall technology experience that includes at least 4+ years of hands-on software development, data engineering, and systems architecture.</li><li>4+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools.</li><li>4+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.).</li><li>2+ years in cloud data engineering experience in Azure.</li><li>Fluent with Azure cloud services. Azure Certification is a plus.</li><li>Experience with integration of multi cloud services with on-premises technologies.</li><li>Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines.</li><li>Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations.</li><li>Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.</li><li>Experience with at least one MPP database technology such as Redshift, Synapse or SnowFlake.</li><li>Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes.</li><li>Experience with version control systems like Github and deployment &amp; CI tools.</li><li>Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools.</li><li>Experience with Statistical/ML techniques is a plus.</li><li>Experience with building solutions in the retail or in the supply chain space is a plus</li><li>Understanding of metadata management, data lineage, and data glossaries is a plus.</li><li>Working knowledge of agile development, including DevOps and DataOps concepts.</li><li>Familiarity with business intelligence tools (such as PowerBI).</li><li>BA/BS in Computer Science, Math, Physics, or other technical fields.</li><li>Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management.</li><li>Proven track record of leading, mentoring data teams.</li><li>Strong change manager. Comfortable with change, especially that which arises through company growth.</li><li>Ability to understand and translate business requirements into data and technical requirements.</li><li>High degree of organization and ability to manage multiple, competing projects and priorities simultaneously.</li><li>Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment.</li><li>Strong leadership, organizational and interpersonal skills; comfortable managing trade-offs.</li><li>Foster a team culture of accountability, communication, and self-management.</li><li>Proactively drives impact and engagement while bringing others along.</li><li>Consistently attain/exceed individual and team goals</li><li>Ability to lead others without direct authority in a matrixed environment.</li><li>Highly influential and having the ability to educate challenging stakeholders on the role of data and its purpose in the business.</li><li>Understands both the engineering and business side of the Data Products released.</li><li>Places the user in the center of decision making.</li><li>Teams up and collaborates for speed, agility, and innovation.</li><li>Experience with and embraces agile methodologies.</li><li>Strong negotiation and decision-making skill.</li><li>Experience managing and working with globally distributed teams.</li></ul>

Responsibilities: <ul><li>As a Data Analyst working on the Regional Supply Chain team, you will use your expertise in Machine Learning to solve problems with high business impact and deploy models at scale using cutting-edge technologies to grow our business on e-com and off-line.</li><li>Definition of the feasibility and implementation of use cases</li><li>Understanding business needs and translate them to technical terms</li><li>Developing, adapting, and executing reports for different markets/deployment as needed</li><li>Modelization, packaging and making assets available for key users</li><li>Owning and managing the solutions, app, workspace, and reports repository</li></ul> Requirements: <ul><li>Data manipulation and analysis skills: Data wrangling, crunching, preparation, visualization</li><li>Exploratory data analysis</li><li>Experience in data visualization, knowledge or interest in Power BI</li><li>Proficiency in web frameworks knowledge appreciated</li><li>Python, R, Microsoft SQL Server, GCP knowledge are a MUST</li><li>Familiar with MLOps tools: MLFlow, DVC, or similar frameworks.</li><li>SAP ECC and Supply Chains domains knowledge appreciated</li></ul>

Responsibilities: <ul><li>Hands-on expertise in implementing, consolidating, migrating (cross platform) large complex environments.</li><li>Drive client workshops to demonstrate product capabilities and gather customer requirements.</li><li>Analyze requirements and design technical solutions to meet business goals, objectives and functional/non-functional requirements in alignment with architectural standards.</li><li>Drive Messaging Migration solutions using Microsoft Exchange / Lync / SharePoint / System Center /.Virtualization.</li><li>Work with other team members and leaders, proactively identify and mitigate/resolve risks and issues.</li><li>Migrate, Implement the office 365 environments.</li><li>Experience on Windows PowerShell and AD.</li><li>Users Management and configuration on Office365 Portal</li><li>Foster senior level client relationships and engage with senior level client stakeholders to gather requirements, develop plans and drive solution success.</li><li>Troubleshooting of issues on AD, AD connect, ADFS, Relay Server, Exchange Server, Office365 E3 and EMS E3</li><li>Capture and share best-practice knowledge amongst the messaging solution architect community.</li><li>Act as a technical liaison between customers, service engineering teams and support.</li><li>Ability to understand customer requirements and translate them into reusable technical offerings/solutions</li></ul> Requirements: <ul><li>Must have a degree in Computer Science Engineering or equivalent work experience with over 8+ yearsof relevant work experience,</li><li>Experience working in a Services organization in a consulting capacity is strongly preferred. Experience working on multi-phase global implementations is preferred.</li><li>Having Microsoft Certifications (M365, Azure, SharePoint, .Net) is a plus.</li><li>Experience in delivery complex projects in Messaging and O365.</li><li>Experience with executing quick technical feasibility and proposal development.</li><li>Good understanding of Active Directory.</li><li>Knowledge and experience on Office365 E3, E5 Functionality</li><li class="ql-align-justify">Proficient in Microsoft Power Point, Visio.</li></ul>

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