THC is one of the most trustworthy headhunters in Asia. We have always succeeded in providing our clients with the most relevant candidates due to our experienced staff, knowledge, skills and efforts to ensure that our clients can hire the right personnel for their businesses. 

We help our clients identify and onboard high impact professionals across industries globally. Few critical factors form the foundation of this process: Industry Experience, Domain Knowledge, Transparency and Relationship. The result is an uncompromising focus on execution that makes us a preferred partner to both clients and candidates.

Our search process is simple. We are candid, transparent and straightforward, and we provide thorough due diligence and comprehensive information to both the parties fostering a long-term relationship. Over the years we have helped our customers achieve long-term success through augmenting top leadership talent across emerging markets globally. 

Every client works directly with a highly qualified, capable and successful executive recruiter, with no room in the organization for amateur recruiters or sales managers.

What You’ll Do Engineering :<ul><li>Work on organisation’s most complex web applications by designing, implementing, and unit testing the frontend application code.</li><li>Build a next gen UI using the latest technologies: React, Redux, Sass, ES2016</li><li>Help teams with helping with defining an architecture that would scale and also encourage best practices.</li><li>Create frameworks and abstractions that are reliable, reusable and avoid surprising outcomes.</li><li>Goto person to get clarity of problem statements and also can breakdown into meaningful tasks.</li><li>Promote and demonstrate problem-specific expertise in delivering results (e.g. for research engineers you apply domain knowledge and research skills.</li><li>Integrate with more than 40 upstream services while still providing users super fast response times.</li><li> </li></ul>What You’ll Need <ul><li>8+ years of software engineering experience focused on web development.</li><li>Hands on experience in architecting large scale frontend applications.</li><li>Have detailed hands-on experience of cutting edge web technologies (HTML5, CSS, Javascript, TypeScript), Application Servers, Web Applications.</li><li>Experience developing UI with JavaScript development frameworks (e.g. React, Angular, Vue, Bootstrap, etc)</li><li>Have in-depth understanding of application performance and scalability Experience working on open-source projects, building frameworks, ui platforms at scale.</li><li>Deep understanding of Web and Information Security concepts and concerns, such as CORS, CSP, CSRF, XSS, etc.</li><li>An expert in debugging and profiling Browsers and Node.js, and understand ways to decrease page load speed and runtime slowdowns</li></ul>

Roles and Responsibilities&nbsp;* Work closely with our engineering, product and design teams to build intuitive experiences. Play an active role in shaping up the roadmap and vision for the team.* Implement native user interfaces with the latest iOS technologies. Contribute to the iOS monorepo on core organisation flows enabling a variety of new experiences related to marketing use cases.* Ship efficient, reliable, crash-free code that reaches millions of users.* Ensure your mobile applications perform and scale in production.* Champion best software engineering practices such as continuous integration, delivery, and deployment.* Take a lead role in the team's technical design choices.* Write quality code and documentation which can be used as the example for your company.* Coach and mentor junior or new engineers joining the marketing mobility team.&nbsp;What You'll Need&nbsp;* 8+ years of full-time iOS engineering experience with strong expertise in Swift and Objective-C and deep understanding of iOS SDK. Proficient in object oriented programming, multithreading, networking, memory management and source control management (git).* Strong focus on building high-quality mobile UI experiences. Passion about delivering software that delights our end users. Proficiency with UI/UX paradigms to build elegant user experiences.* Experience working with product management and design teams.&nbsp;* Strong written, verbal communication skills; ability to influence others within your team and outside your team.* Experience in testing and deploying scalable mobile applications. Experience analyzing a feature in production using analytics and experiments.* Attention to detail, particularly around software engineering fundamentals, testing methodologies and quality.* Fast learner: We’re looking for software engineers who thrive on learning new technologies and don’t believe in one-size-fits-all solutions. Should be able to adapt easily to meet the needs of our extensive growth and constantly evolving business environment.* A great teammate: Believe that you can achieve more on a team — that the whole is greater than the sum of its parts. You rely on others' candid feedback for continuous improvement.* Design and entrepreneurial acumen: Understand requirements and business use cases beyond the written word.

As a Data Scientist for the team, you will play the significant role of helping define the product vision and deliver it from the ground up by working with a very fast-paced and passionate group of high-performing Data Scientists, Applied Scientists, Engineers, Designers, Product Managers, and Ops Managers. You will be responsible for leading the charter and their roadmap. People with an entrepreneurial bent of mind, independent analytical thinking, rapid hypotheses building, testing hypotheses using experimentations, building machine learning/deep learning models, and apply causal inferences to aid the team make an informed decision and deliver high business impact. What You'll Need <ul><li>Knowledge of underlying mathematical foundations of statistics, machine learning, economics, and analytics.</li><li>Experience with exploratory data analysis, statistical analysis and testing, and model development.</li><li>Fluency in SQl, Hive and Spark.</li><li>Strong Experience using Python or R and SQL/Spark and working efficiently at scale with large data sets.</li><li>Experience in building and evaluating algorithms and optimizing the Ml model in production environments.</li><li>Proven experience of 5+years in the relevant field.</li><li>MS or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, Computer Science or other quantitative fields.</li></ul> What You'll Do <ul><li>As a Data Scientist, you will work closely with product management, engineering and operations teams to own data science in driving organisation's product roadmap for Mobility Growth and New Verticals (e.g. High Capacity Vehicles, Micro Mobility, Rents) globally.</li><li>Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimisation, and work with engineering/product to deploy those algorithms and create impact in production.</li><li>Drive clarity and solve ambiguous, challenging business problems using data-driven approaches. Propose and own data analysis (including modeling, coding, analytics, and experimentation) to drive business insight and facilitate decisions.</li><li>Leverage data to understand the product performance and to identify improvement opportunities.</li><li>Design product experiments and interpret the results to draw detailed and impactful conclusions and communicate with senior management and multi-functional teams</li><li>Provide recommendations to assist quick product ideation and feature launch decisions and build intelligent data-driven products to provide the best user experience.</li><li>Generate ideas for exploratory analysis to shape future projects and provide recommendations for actions</li></ul> Basic Qualifications <ul><li>PhD, MS or Bachelors degree in, Statistics, Economics, Machine Learning, Operations Research, Computer Science or other quantitative fields. (If M.S. degree, a minimum of 2+ years of industry experience required and if Bachelor's degree, a minimum of 5+ years of industry experience required)</li><li>Knowledge of underlying mathematical foundations of statistics, machine learning, optimisation, economics, and analytics</li><li>Knowledge of experimental design and analysis</li><li>Experience with exploratory data analysis, statistical analysis, and testing, and model development</li><li>Ability to use a language like Python or R to work efficiently at scale with large data sets</li><li>Proficiency in languages and tools like SQL, Hive, and Spark</li></ul> Preferred Qualifications <ul><li>5+ years of industry experience working as a data scientist or similar</li><li>Tech lead experience is a plus</li><li>Experience solving ambiguous business problems at scale</li><li>Experience with Causal inference techniques to evaluate the causal relationships with variables</li><li>Experience building production-level machine learning and deep learning models</li><li>Advanced expertise in experimental design and analysis (e.g., A/B and market-level experiments)</li><li>Experience with productionizing algorithms for real-time systems</li></ul>

Role- <ul><li>Manage a team of Data Scientists and Applied Scientists, while also contributing to projects.</li><li>Build statistical, optimization, and machine learning models for applications including pricing, matching, routing, automated recommendations, growth strategies, and user behaviour modeling.</li><li>Design product experiments and interpret the results to draw detailed and impactful conclusions.</li><li>Develop data-driven business insights and work with the team and cross-functional partners to identify opportunities, drive product strategy, planning, and execution.</li><li>Drive understanding of our users and their interaction with products, through in-depth analyses of user interaction and engagement.</li><li>Define how teams measure success, by developing Key Performance Indicators and other users/business metrics, in close partnership with Product Management and other disciplines such as engineering, operations and marketing</li><li>Provide rigorous technical mentorship to the team.</li><li>Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization.</li></ul> Basic Qualifications <ul><li>Degree in Statistics, Mathematics, Economics, Operations Research, Computer Science, Physics and minimum 10 years experience in Applied Science or similar field.</li><li>Familiarity with Sql, Python, R or Java to work efficiently at scale with large data sets (including exploratory data analysis, statistical analysis, and machine learning model development) in a production environment.</li><li>Ability to drive clarity on the best modeling or analytic solution for a business objective.</li><li>Advanced knowledge of experiment design and statistical methods.</li><li>Minimum 3 years of management experience in a technical role.&nbsp;</li></ul> Preferred Qualifications <ul><li>MS in Statistics, Mathematics, Economics, Operations Research, Computer Science, Physics or other quantitative fields with 10+ years of industry experience.</li><li>Ph.D in Statistics, Mathematics, Economics, Operations Research, Computer Science, Physics or other quantitative fields.</li><li>Experience working in a technical role in a marketplace environment</li><li>Strong communication skills, for example, demonstrated through documentation and presentations. Able to present findings to senior management to inform business decisions.</li></ul>

THC Consulting & Advisory Services

Frontend Engineer

IOS Development

Senior Data Scientist

Applied Science Manager , Core Analytics and Science