Great intelligence requires knowledgeable and experienced people who are familiar with our client's industry and the challenges they face every day. It takes attention to detail, a commitment to uncovering insights that inspire action and a relentless focus on doing things right the first time.

Truly, Course5's greatest strength lies within our people. Our depth of knowledge, ingenuity and the way we work as one seamless, integrated, goal-oriented team allows us to inspire creativity in those with whom we interact.

So, whether you are just beginning your career in analytics, market research or digital, or bringing a wealth of expertise, you will discover that we offer an exciting blend of cultures, experiences and professional rewards.

If you meet our position requirements and can see yourself at Course5, we invite you to apply by e-mailing your resume and cover letter to careers@course5i.com. Please include the job title in your subject line. Sorry, no telephone calls please.

Current
Openings

North America (4)   

Market Research Project Manager- Redmond, WA

The Project Manager will support a key primary research study for a large client. The researcher will have a strong background in quantitative research, (managing a study, fieldwork, quotas, timelines, and analyzing data). This is a full time position located at the client site in Redmond, WA.

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Market Research Analyst- Redmond, WA

The Market Research Analyst will work within the client's Market Research Team to oversee activities, analysis, and reporting of consumer and market research projects. Research projects generally focus on market, consumer, shopper, and customer insights and trends for use in developing marketing strategies and product enhancements/offerings, brand differentiation, positioning, marketing messaging, advertising effectiveness, shopper and consumer satisfaction.

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Senior Research Manager

Course5 is seeking a Sr. Research Manager to join our growing primary research team. As a Sr. Research Manager you will engage on a daily basis with client-side product and research teams to assist in the execution and delivery of research programs for an entertainment/technology client headquartered in the SF bay area. You will be responsible for helping the client develop, manage and execute a large international product tracking research program. To this end you will help manage the research program, internal research team and vendors, while fulfilling other requests as needed to operationalize and maintain ongoing related research programs. This is a tremendous opportunity for the right person to work on a high profile program for a well-known technology giant.

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Client Partner - Seattle

Promoting Course5 value propositions to US based clients. Managing a multi-million dollar account for one of the world’s leading technology companies. Includes meeting frequently with clients, creating strategic growth plans, creating and closing new business opportunities, partnering with onshore and offshore delivery teams to ensure accurate, on-time delivery . Successful insights and/or analytics business development and client services manager, with a proven track record of bringing new services to clients. Previous responsibilities for selling are a big plus.

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Bangalore, India (17)   

Sr. Specialist - Visual Services

Ability to create PowerPoint presentations with graphic elements, table, charts, etc. Able to create templates in PowerPoint. Regular formatting/visualization of the deliverables assigned by the project manager. Consistency check, follow the company's branding guidelines and ensure the deliverables are client ready. Manage time, meeting deadlines with zero error. Continuously build knowledge on the latest industry trends in design, functionality and technology. Adapting and learning new tools effectively.

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Manager - Pharma

Lead projects in the areas of competitor monitoring, conference coverage, market sizing and forecasting, social media analytics, primary market research etc. Prepare in-depth analysis of key competitors' strategies, offering insights to support key business decisions for clients. Deliver presentations of the findings to clients onsite or through teleconference.

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Assistant Manager - Pharma

To be able to align the deliverable to the KITs and KIQs of the project. Develop final outputs (slides or documents) with the best suited data synthesis and convincing visualization to convey key messages. For conference coverage – Assist in: pre-congress planning (via abstract mining), in-congress primary reporting and developing post-congress reports. Potentially grow into managing multiple projects and teams.

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Senior Analyst - Pharma

Participate by listening into client calls or other project briefings to understand the objective of the project. Working closely with assistant manager and upwards in adding value through secondary data collection and writing summaries for clinical and business events.

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Analyst - Pharma

Delivering high quality data to their team for the project. Collect, track and report day-to-day market driven events pertaining to the project. Potentially progress into more advanced project work, content generation, or other content responsibilities.

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Primary Research- AM/Manager

The Primary Researcher will support a key primary research study for a large client mostly tracker studies. The researcher should have a strong background in quantitative research, (managing a study, fieldwork, quotas, timelines, and analysing data).

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Senior Research Analyst/ Research Analyst

Experience in ICT industry is must,Should have experience into custom Research , secondary research -Market sizing, report writing, bench marking, trends analysis, competitive analysis, vendor profile, product analysis.

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Delivery Lead - Sr Manager

Key Responsibilities: Designation: Senior Manager/Delivery Lead/Operation Manager – Data science/Advanced Analytics Summary: The ideal candidate will be having experience in managing multiple projects and teams contracted in the area of providing analytics services including development of predictive models in some of these areas - cross-sell/ up-sell strategies, market segmentation, churn & CLV modeling or price optimization etc, using tools like SAS, R, Python Responsibilities: - Interact with clients and internal stakeholders to capture business requirement - Define project scope and deliverables that support business goals; collaborate with a delivery team and analytics practice lead to deliver projects - Design analytical solution to client's problems, identify data requirements, develop plan and delivery results in a time-bound fashion in collaboration with direct and indirect teams - Travel to client locations, as per the requirements, for scoping, reviews, workshops etc. - Lead set of Data Scientists, Project Manager, Data Architect, and Business Analyst - Identify training needs and collaborate with an internal department to continually augment and build skills in the workforce to remain relevant with industry - The incumbent will be responsible for performance evaluation, career planning for immediate team members - Possess strong foundation and understanding of Statistical Modelling, Data Mining, Predictive Analytics, Machine Learning, and Optimization. - Manages professionals, setting goals and conducting performance reviews, contributes to the creation of the vision and measures of success for the function. - Prepares presentations and proposals Manage data which supports operational and financial budgets. Qualification: Masters in statistics, mathematics, economics, Engineering or MBA from a reputed institute Experience: 7+ years of experience in advanced analytics/ predictive modeling with at least 3 in a managerial role. Candidate should have worked for hands-on in analytics in some of these areas - cross-sell / up-sell strategies, market segmentation, price optimization, time to an event, survival analysis etc. and currently be in a managerial role Mandatory Skills: - Ability to engage clients to understand business requirements and convert the same into technical/modeling problems for solution development - Domain understanding of at least one preferably two verticals amongst Technology, Telco & e-commerce or Retail, CPG & BFSI - Demonstrate the ability to manage complex & multiple projects all running in parallel - Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists - Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in SAS, R, Python and/or SPSS is a plus - Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English - Ability to work in cross-functional teams to mobilize needed skills and resource to achieve project goals - Ability to present results of statistical models in business language - Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus - Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports - Readiness to travel for client meetings & knowledge transfer sessions Preferred Skills: - Ability to manage specific tasks to completion with minimal direction - The ideal candidate should have project management experience previously and preferably requiring extraction and processing of large amounts of data from a variety of sources - Supply Chain, Campaign management and Sales lifecycle (lead, sales) experience would be plus - Hands-on expertise on the applied statistical techniques including multivariate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, Natural Language processing, Network Optimization etc. - Ability to collaborate with onsite colleagues in the US - Expert in handling large data, cleansing & preparation for modeling - Very high attention to detail and quality Essential Requirements: Possess a strong foundation and understanding of Statistical Modelling, Data Mining, Predictive Analytics, Machine Learning, and Optimization.

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Software Engineer - Java

1. POSITION SUMMARY The Software Engineer will be part of the ‘Artificial Intelligence and Product Engineering’ organization. This organization is the Innovation Hub of the company and is chartered with solving complex business problems through Artificial Intelligence, Cognitive Computing and SaaS Engineering. 2. Experience ? Bachelor’s degree in Engineering, Technology or computer science ? 3 to 5 years of experience in building scalable web applications ? Proficiency with Angular, JavaScript and Core Java with Spring MVC framework.

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Lead AI Scientist

POSITION SUMMARY This is a Lead AI scientist position with the Artificial Intelligence and Product Engineering organization. This organization is the Innovation Hub of the company and is chartered with solving complex business problems through Artificial Intelligence, Machine Learning, NLP, Computer Vision, Cognitive Computing and Platform/Product Engineering. Responsibilities • Solve complex business problems by applying NLP, CV and Machine Learning techniques. Integrate these algorithms into multiple products and solution offerings. • Build cognitive capabilities in multiple products and solution offerings. • Systemic study of the latest research and industry developments in Artificial Intelligence. Leverage these developments to solve real-world business problems. • Envisage next-generation challenges and recommend solutions to solve them. • Facilitate the IP generation process in the organization and works towards patenting of inventions. Experience • Bachelor’s degree, 5 to 7 years of experience in Artificial Intelligence, Machine Learning, Deep learning, Computer Vision, Natural Language Processing (NLP) • Hands-on coding skills in Python, at least 4 years Python experience • (Preferred) Strong NLP skills Personal Skills • Ability to work on complex, highly visible, global engagements under minimal supervision. • Ability to successfully operate in a fast-paced, dynamic and high-pressure environment. • Ability to lead multiple technical programs at a single point of time.

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Data Scientist

Job Role Summary Data analytics encompasses the computational and statistical skills required to use data in support of scientific inquiry and sound business decision-making. We are looking to hire candidates to work on challenging data analytics problems for our upstream business, including exploration, development, and production. Job Responsibilities • Use data visualization, statistical analysis, pattern recognition, and machine learning – along with domain knowledge and subject-specific models – to solve science, engineering, and commercial problems • Assist the formulation of new projects or enhancements of existing models • Contribute to all stages of data analytics or decision modeling development, deployment, and support • Database/historian development, data extraction/transformation/loading, data filtering, and quality control, exploratory data analysis and visualization, and programming with an emphasis on scripting languages • Process unstructured data into a form suitable for analysis • Create tutorials, documentation, training material, and case studies • Build simulation models using proprietary and vendor tools to model business problems. Analyze simulation results and develop technical reports and presentations Experience • Bachelor degree from a recognized university in one of the following disciplines: Computer Science with minimum of 3 years as significant experience in data analysis and overall 4-6 year of experience • Professional work experience in data analytics: Minimum two years applied computational work experience for candidates with Bachelor’s degrees • Minimum 4 years of experience in Python is required • Excellent communication skills and experience working in a collaborative environment is required • Knowledge of numerical methods for linear algebra and optimization is an advantage • Experience in technical software development is an advantage • Experience working in Linux and in a High-Performance Computing environment is an advantage

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Director -Machine Vision -AI

1. POSITION SUMMARY The Senior Director/Director of Artificial Intelligence will be an integral part of the Artificial Intelligence and Product Engineering organization. This organization is the Innovation Hub of the company and is chartered with solving complex business problems through Artificial Intelligence, Cognitive Computing, Machine Learning, Natural Language Processing and SaaS Product/Platform Engineering. This is a key technical leadership role and reports to the SVP, Artificial Intelligence. This role will be primarily responsible for leading our Applied AI Research on Machine Vision, and building Computer Vision (and allied) products and solutions. 1.1 Responsibilities • Solve complex business problems of global organizations by applying Machine/Computer Vision, Advanced Optimization, and (Deep) Machine Learning technologies. • Systemic AI Research and Algorithm Development for the application of Machine Vision to multiple business use cases. • Partner with other AI leaders of the company to build comprehensive AI Roadmaps and develop multi-modal cognitive capabilities in multiple product and solution offerings. • Envisage next-generation challenges, and develop Proof-of-Concepts/Prototypes to solve the same. • Facilitate the IP generation process in the organization and works towards patenting of inventions. 1.2 Experience • Masters/Ph.D. in Statistics, Mathematics, Computer Science, Machine Learning or related areas. • 12+ years of hands-on experience in Deep Learning, with at least 5 years in Computer Vision. • Strong expertise in two or more of these: TensorFlow, Keras, Theano, OpenCV, PyTorch. • Strong Expertise in using Deep Neural Networks for complex pattern recognition. • Ability to understand complex system architecture and components. • (Preferred) Prior experience in working on Big Data environments like Hadoop, Spark, etc. • (Preferred) Expertise in Natural Language Processing (NLP) and Reinforcement Learning (RL). • (Preferred) Expertise in Evolutionary Algorithms and Advanced Optimization Techniques. • (Preferred) Track record of publishing technical papers in reputed journals and filing patents. 1.3 Personal Skills • Ability to work on complex, highly visible, global engagements under minimal supervision. • Ability to successfully operate in a fast-paced, dynamic and high-pressure environment. • Ability to lead multiple technical programs at a single point of time.

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Associate Manager - Data Visualization

Analyst/ BI 1 to 4 years of total/relevant experience Clearly, understand requirements from clients, transform to technical/documents, design prototypes for dashboards and reports, design and develop end to end dashboards and reports, arrive at actionable insights for the same Extensive experience working with at least BI/Visualization platforms like Tableau, PowerBI, Microstrategy, Qlik, Cognos, Lumira… Understand fundamentals of data preparation necessary for the visualization purpose A clear understanding of which representation of data is most appropriate for given scenarios Should be strong in SQL basics Expertise in advance measure computations 1. Good communication and interpersonal skills 2. Good educational background, MBA grads welcome for role #1 in specific 3. Good pedigree of working with well-known companies and in the related area 4. Experience in working with multiple, clients, domains and technology components

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Software Engineer - Java

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Senior Research Analyst - Primary Research

Key Responsibilities: • Lead and own a large quantitative research survey fielded on the clients’ internal organization • Manage the program end to end (acting as a Project Manager) working with stakeholders and users of the survey. • Own all the aspects of the timeline and work closely with the internal client/ vendors and the research agency conducting the survey. • Pulling data, analyze, interpret and prepare reports from the above data. • Gaining business knowledge and business context through secondary search that helps add value to the deliverables • Schedule and lead meetings related to the study, record all notes and follow up on action items. • Flag and issues that may impact the timeline, budget or data quality Brief Job Responsibilities: • Primary Quantitative research (Understanding business objective, Familiarizing of different primary questionnaires / studies, pulling out the relevant data and analyzing the data, preparing reports), • Secondary research (for business knowledge and business context) • Regular Client interactions and project management • Interaction with different internal / external stake holders Knowledge/Qualifications: Quantitative Research, office – Excel, Word, office, SPSS

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Senior Market Research Analyst

Key Responsibilities include: • Project Management: ? Understanding the research objective and scope of the project from the product marketing / category research manager through knowledge transfer call. If required, debrief the off-shore team with the project objective and understanding. ? Supplier briefing with the category research manager (wherever applicable) on the requirement and proposal gathering. ? Route a project for budget approval and authorization. And upon approval, if required, liaise between the marketing team and the vendor on final clarifications on the requirements before project commencement. ? Review and approve questionnaire for fielding. ? Review the final report from the vendor, ensure if additional questions / metrics have been addressed, provide feedback and write recommendations in the prescribed format. ? Help the project teams to converge and share results and identify the next course of action for the product ? Once the project is closed, circulate the results via e-mail to the key stakeholders in a prescribed format ? Upload the project and relevant documents to the knowledge repository for wider viewing • Manage day-to-day project-related inquiries, ensuring timely response and insight. • Other responsibilities: ? Participating in quick desk research to augment primary research findings (when required), and administrative tasks (this could also include helping offshore getting building access, book meeting rooms when the client location etc.,). Qualifications: Background Required: Education: Minimum Bachelor’s Degree MBA or MA with a concentration in research, marketing, or quantitative analysis would be ideal Experience: o Experience drafting Primary Research Report; someone with good command over English o Experience with a market research supplier (Nielsen, IPSOS, Kantar etc.) o Typically 2 to 5 years marketing research experience in methodologies such as concept tests, ad test, package test etc. o Experienced preferably in Consumer Packaged Goods industry is an added advantage.

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Director - Life Sciences

ROLES AND RESPONSIBILITIES Leadership: • Interface with senior management for execution and strategy development • Ability to train and mentor juniors in multi-dimensional roles in a dynamic fast paced environment • Built and manage teams across functional domains • Lead teams through high impact and conflicting situations to deliver seamlessly • Provide innovative and best practices to create a high energy positive work environment Client engagement: • Engage with internal and external stakeholders to build effective relationships to create win-win engagement models • Provide strategic solutions through innovative frameworks • Provide a clear leadership path to client engagements • Deliver presentations of the findings to clients onsite or through teleconferences Project management: • Synthesize information from a wide variety of secondary and primary sources • Prepare in-depth analysis of key competitors’ strategies, offering insights to support key business decisions for clients • Provide robust competitive assessments and insights that inform key decision making processes for clients such as strategic brand planning, forecasting, and lifecycle management REQUIRED KNOWLEDGE AND SKILLS • 10-12 years of relevant competitive intelligence and commercial analytics experience • Broad experience in the key functional areas of CI, analytics and market research including the ability to understand and identify key business levers • Strong strategic skills including ability to see the big picture, conceptual/out of the box thinking • Proven senior management client presence and exceptional communication skills are a must • Understanding of higher level analytics such as models and forecasting • Working knowledge of classic industry information/data sources • Ability to provide guidance to project teams in terms of: ? Client management ? Change management ? Project scope, timelines and effort estimation • Demonstrated competencies required in the following areas: collaboration, organization, written and verbal communication, accuracy, and personal initiative • Other requirements include concise and impactful written and verbal communications; first-hand experience working on and influencing multi-functional teams; and the ability to provide leadership across multiple projects simultaneously • Ability to balance conflicting priorities • Work experience in the US/European pharma industry a plus • Proven people management skills This position may require up to 35% travel.

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Mumbai, India (3)   

Analyst / Sr. Analyst - Digital Analytics

Report and provide ongoing thought leadership and best practices to deliver smart, actionable analytics and insights to brands across a variety of platforms, specifically Google Analytics and Omniture. Translate data and reports into actionable business insights with strong point of view on which key performance indicators (KPIs) are most critical.

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PHP Developer

Write code for Websites/Web-based applications and Social Media applications and work with Managers, designers and the team to develop and support activities from a development/technical perspective

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Statistical Analyst

The analyst will apply advanced analytics and data science to measure performance and improve Customer Insights, Revenue Generation & Marketing Decision making. The ideal candidate is a strategic, analytical thinker, results and detail oriented, and possesses the confidence and knowledge to optimize business performance.

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