Summary

Role and Responsibilities

• Primary focus is to collaborate with internal teams to execute on several data initiatives in a timely manner.
• Ensure reliable data collection; monitor and audit the integrity of data throughout its lifecycle.
• Understand and take complete ownership of various datasets with an emphasis on quality –continuously evolve data engineering capabilities to detect and resolve issues in the data.
• Full-stack development to compute metrics as per specs by querying, aggregating and processing data; produce dashboards with visualizations.
• Employ algorithms to model and estimate data to handle missing/corrupt values; time series modeling and prediction.
• Collaborate with IT Ops to monitor health of camera networks – aid in problem identification and resolution.
• Write software and scripts to manipulate and aggregate data during the aggregation process.
• Design, and develop data engineering infrastructure – tools, libraries, pipelines and software systems – to be scalable, distributed and highly available.
• Collaborate with Software Engineering and R&D to support product development and integration of new technology into the data processing infrastructure.
• Design and develop internal web service APIs to support various workflows including dashboards for visualizing and monitoring various internal metrics.

Experience and Skills Required

• MS/BS in Computer Science, Electrical Engineering, Software Engineering or similar field with at least 3-5 years of experience as a data engineer building systems and pipelines to process data in a scalable manner.
• Demonstrable knowledge of basics of data science with emphasis on data modeling and dealing with missing/corrupt data.
• Mastery of data technologies – Python, Pandas, NumPy, SciPy, Airflow, Celery, Matplotlib, Jupyter/Colab etc.
• Mastery of data engineering – distributed systems, MQTT, ETL with databases with large-scale, complex datasets; data structures and organization for fast, high throughput processing; experience with pipeline architecture such as lambda to build scalable, high throughput data pipelines.
• Mastery of AWS eco system – Redshift, S3, RDS, SQS, ECS, CloudWatch.
• Database development – advanced querying capabilities in both SQL and NoSQL environments.
• General software skills – design patterns, deep knowledge of Ubuntu/Raspbian OS, Windows services, environment management via containerization – Docker and ECS, Code and version management – git, CI/CD technologies – Jenkins, AWS CodePipeline.
• Experience with web services – Django, HTML, CSS, Bootstrap, Javascript
• Experience creating dashboards and data visualizations – D3.js, plot.ly, Matplotlib, Tableau.
• Good understanding of camera technologies and video standards.
• Excellent communication skills to affect a high degree of collaboration with upstream and downstream teams.
• Excellent analytical and debugging skills.
• Strong project management skills to effectively execute on several simultaneous data initiatives.
• Detail oriented with the ability to work independently in a fast-paced unstructured environment.

Ideal Candidate

Summary

Role and Responsibilities

• Work with account teams in client engagements to provide product-specific expertise.
• Project Management- Translate research needs of clients into project objectives, gather requirements and develop a plan to address the research problem
• Coordinate with internal teams in the execution of the project.
• Analyze qualitative and quantitative data to identify relevant trends and produce structured reports.
• Present research findings and recommendations to internal and external clients
• Ensure quality in all client deliverables.

Experience and Skills Required

• Bachelors or Master’s Degree in Marketing, Business or a related discipline.
• 5+ years’ experience in market research, CPG and analytics.
• Excellent analytical and problem solving skills; ability to analyze and extract information from complex datasets.
• High level of quantitative intuition and attention to detail.
• Specialize in CPG (Consumer Packaged Goods) or other retail areas.
• Strong verbal and written communication skills; effectively present information to a wide range of users.
• Proficient in Microsoft products including Word, Excel and PowerPoint.
• Experience with Alteryx and Tableau a plus.
• Ability to multi-task and work independently.
• Professionally address questions regarding measures, products and services, involving subject matter experts, as needed.
• Keep abreast of industry trends and events.

Ideal Candidate

Summary

Role and Responsibilities

• Project Management- Translate Statement of Work into detailed project plan with specific milestones and deliverables, socialize plan internally and externally and set expectations.
• Work with Data Services team to generate/aggregate data required to deliver upon the committed scope.
• Analyze data, generate insights, and present research findings and insights to the client
• Continue to be the point person to address ongoing queries from the client; ensure client usage and adoption of VideoMining’s contracted solution across client user groups.
• Understand client’s business functions and develop a point of view on how VideoMining’s solutions can add value. Ensure long term success and renewals.
• Compile project completion report - Capture Impact Stories to document Customer Use Cases and associated business impact and ROI
• Support pre-sales efforts and help grow the client base.
• Provide feedback to the Product team to improve VideoMining’s solution offering

Experience and Skills Required

• Bachelors or Master’s Degree in Market Research, Business or a related discipline.
• 5+ years’ experience in market research, CPG and analytics.
• Demonstrated experience in making client presentations and delivering upon complex project requirements
• Excellent analytical and problem solving skills; ability to analyze and extract information from complex datasets.
• High level of quantitative intuition and business acumen; a key requirement to generate insights that are relevant and actionable to address specific client issues.
• Proven ability to handle multiple clients and projects, ensuring highest level of service.
• Strong verbal and written communication skills; effectively present information to a wide range of users.
• Thorough understanding of the workings of Consumer Packaged Goods industry.
• Working knowledge of data services designed for CPG retail such as Numerator, Nielsen, IRi, Dunnhumby is a plus.
• Proficient in Microsoft products including Word, Excel and PowerPoint.
• Experience with data analysis and presentation tools such as Alteryx and Tableau a plus.

Ideal Candidate

Summary

Role and Responsibilities

• Actively pursue new clients through various avenues; generate new leads through networking and social selling
• Nurture prospects through continuous engagement and by leveraging VideoMining’s content and marketing technology
• Articulate the value of VideoMining’s solution and consult with current and potential clients regarding their business issues and objectives
• Coordinate delivery - Provide guidance to the insights team so that deliverables meet client expectations
• Continue to be the point person to address ongoing queries from the client; ensure client usage and adoption of VideoMining’s contracted solution across client user groups
• Understand client’s business functions and develop a point of view on how VideoMining’s solutions can add value. Ensure long term account success and renewals.
• Consistently achieve or exceed quarterly program revenue and other strategic goals.

Experience and Skills Required

• An entrepreneurial spirit who will infuse their personality into the growing culture of VideoMining Corporation
• Bachelor’s or Master’s degree in Business or related area preferred
• At least 10 years of Enterprise sales/business development experience
• Working knowledge of CPG retail, and the Convenience store channel in particular
• Must be a creative problem solver who can drive account growth while adapting to new challenges
• Strong connections within the convenience store channel a plus
• Working knowledge of data services designed for CPG retail such as Numerator, Nielsen, IRi, Dunnhumby is a plus
• Experience with data analysis and presentation tools such as Alteryx and Tableau a plus

Ideal Candidate