Role Overview
JellyBean is looking for a Senior UX/UI designer who can help us to solution and create modern and great looking designs across all our web and mobile platforms . You will be an important member of the Jellybean studios User Experience & Design team and help guide the visual language for products that support both Jellybean and Clients . At Jellybean, you’ll have the opportunity to define how users interact and use our applications within the sharing economy and be a true innovator in the services space.
This position works closely with Developers, Brand Managers, Marketers and Visual designers to create engaging designs that reflect business requirements, support user needs, and are technically feasible. Qualified candidates will be experienced UI designers who can quickly work on to create wireframes and ideas into elegant solutions and finished mocks.
Duties & Responsibilities
>. Be a part of client calls and understand clients requirement.
>. Evaluate client requirement and develop Information Architecture, application flow diagrams, wire frames, mock-ups, user journeys, , personas to ensure the UI consistency. With the end goal of delivering user experience assets that can be used by our development and solution teams
>. Guide, maintain and communicate UX consistency of experience across all platforms.
>. Setting delivery expectations with UX team and the clients.
>. Provide project estimates for UI Design time and effort.
>. Focuses on improving creating reusable user experience assets that support UX core efforts.
>. Work with developers and client team ensure the solutions are properly implemented and efficient testing and release of designs into the product.
Skills Required
> 4-5 years of experience in a UX/UI design role
> Work with UX Team to solution the end to end logic, create IA, Wireframe and set the delivery expectation with the team.
> Good Understanding about Interaction design
> A portfolio showcasing great looking web & mobile applications that have shipped/gone live
> Good Understanding about Brand identity and style guide design and consistent ability to apply a brand’s style and interaction patterns
> Passion to solve visual design problems and the ability to show different solutions
> Proactive problem solver that is able to handle multiple complex projects and tasks.
> Great communication skills; the ability to clearly explain design decisions and process to anyone in the company
> Entrepreneurial mindset and self-starter who actively seeks ways to improve the customer experience, both visually and functionally
> Attention to Pixel perfect details.
> Excellent verbal and written communication skills
Qualification/Experience Required
The ideal candidate will be an inspiring and confident team player with:
Excellent verbal and written communication skills.
Relevant educational qualification is required.
4-5 years of experience in a UX design role
About JellyBean
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- Develop statistical, and machine learning-based models/pipelines/methods to improve business
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- Conduct sophisticated data mining analyses of large volumes of data and build data science
models, as required, as part of the credit and risk underwriting solutions; customer engagement and
retention; new business initiatives; business process improvements
- Translate data mining results into a clear business-focused deliverable for decisionmakers
- Working with Application Developers on integrating machine learning algorithms and data mining
models into operational systems so it could lead to automation, productivity increase, and time
savings
- Provide the technical direction required to resolve complex issues to ensure the on-time delivery of
solutions that meet the business team’s expectations. May need to develop new methods to apply
to situations
- Knowledge of how to leverage statistical models in algorithms is a must
- Experience in multivariate analysis; identifying how several parameters can affect
retention/behaviour of the customer and identifying actions at different points of the customer lifecycle
Extensive experience coding in Python and having mentored teams to learn the same
- Great understanding of the data science landscape and what tools to leverage for different
problems
- A great structured thinker that could bring structure to any data science problem quickly
- Ability to visualize data stories and adept in data visualization tools and present insights as cohesive
stories to senior leadership
- Excellent capability to organize large data sets collected from many sources (web APIs and internal
databases) to get actionable insights
- Initiate data science programs in the team and collaborate across other data science teams to build
a knowledge database
CRO & Funnel Optimization
Experience: 1-4y
Remote Mode of Work
Budget: 9 LPA
Skills:
B2B SAAS Marketer, Web Analytics, A/B Testing, Data Driven Tools (Google Analytics, Hubspot, SEMrush, Zoho Campaign, Google tag manager).
Roles & Responsibilities:
- Craft and implement data-driven CRO strategies, elevating website performance and boosting conversion rates.
- Collaborate with SEO & PPC teams, breathing life into underperforming blogs/landing pages for improved SERP and MQLs.
- Conduct qualitative & quantitative research, uncovering insights to enhance website metrics and MQLs.
- Team up with Content, Sales, & PMM to align messaging with customer pain points and keyword intent.
- Bring design/layout changes to life with the designer and developer, optimizing user flows.
- Execute A/B and multivariate tests, recording experiments and tracking their impact on conversion metrics.
- Collaborate with the sales team to revolutionize downstream conversions, devising creative plans for MQLs to SQLs and enhanced closed-won percentages.
Requirements
- 1-4 years of CRO experience in B2B SaaS marketing.
- Strong communication & interpersonal skills.
- A/B testing and optimization proficiency.
- Understanding of user experience and content flow.
- Readiness for remote work.
- Project management skills, mastering multitasking and meeting deadlines.
- Strong analytical & presentation skills.
- Critical thinking & problem-solving abilities.
- A relevant marketing degree or CXL certification in CRO is a plus.
- Develops Salesforce.com platform modules, dashboards, interfaces, and database functions with VisualForce,and the Apex coding language
- Understand and utilize Salesforce strategies the technical standards, specifications and policies that are supported within the Salesforce ecosystem
- Experience with Salesforce.com Lightning UI, Apex, and performance optimisation
- Mentor junior team members in Integration Technologies, and Salesforce best practices
- Lead the technical planning & requirements gathering phases for Salesforce projects
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About Company
Our client is the worlds largest media investment company and a global digital transformation agency with 1200 employees across 21 nations. They support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channels
About The Role
· Provide support on Campaign Measurement, Brand Lift studies, Reporting and other data needs (ingestion, cleaning, delivery etc.)
· Code in SQL, Python to create reports and build dashboards.
· Use Bigquery, Python, Datalab (GCP) and automate recurring workloads to improve efficiency
· Maintain underlying data infrastructure and troubleshoot data issues
· Generate meaningful insights from data using advanced analytics/statistical techniques and create dashboards and presentations for wider teams.
· Liaise closely with clients (internally and externally) on projects and work with key stakeholders to assess project needs and ensure best-in-class work is being delivered.
A bit about yourself
· 0-2 years of experience required
· Programming skills in SQL, Python/R
· Logical thinking and problem solving skills
· Strong communication skills (verbal & written)
· Adherence to quality & ability to plan & prioritize the work
· Passionate about data analysis, ability to troubleshoot data anomalies, pulling data from several sources, integrating it to create data layers
· Experience in applying big data, statistics, analytical techniques and technology to solve client problems will be plus
· Experience in creating dashboards, reports, presentations and finding insights, and strong business acumen to provide actionable strategic recommendations will be plus.
Responsibilities
- Product Strategy: Develop and communicate product vision, strategy, and roadmap.
- Requirement Gathering: Identify and prioritize product requirements through user research.
- Project Planning and Management: Define project goals, milestones, and manage timelines.
- Data Management: Oversee data collection, storage, and quality assurance.
- Machine Learning Models: Collaborate on AI algorithm development and model training.
- User Experience (UX): Advocate for intuitive and user-friendly AI product interfaces.
- Product Launch and Adoption: Plan and execute successful product launches.
- Performance Monitoring and Improvement: Track metrics and propose enhancements.
- Stakeholder Communication: Facilitate communication between technical and non-technical teams.
- Market and Industry Awareness: Stay informed on AI trends and regulatory requirements.
Requirements
- Education: Bachelor’s or master’s degree in computer science, engineering, data science, or related fields with 5+ years’ experience as a product manager and at least 2 years in AI domain.
- Technical Knowledge: Strong understanding of AI, machine learning, and data analysis.
- Product Management Experience: Previous experience in product management or related roles.
- AI Domain Expertise: Proficiency in AI applications and ethical considerations.
- Analytical and Problem-Solving Skills: Ability to analyse complex data and solve problems.
- Communication and Collaboration: Excellent interpersonal and communication skills.
- Leadership and Project Management: Strong leadership and project management abilities.
- User-Centric Mindset: Understanding of user needs and usability testing skills.
- Business Acumen: Knowledge of business principles and market dynamics.
- Adaptability and Learning Agility: Openness to new technologies and continuous learning.
• Responsible for leading the Therapist team in terms of revenue
generation via field sales.
• Taking full ownership of therapist side sales revenue target for allocated city/cities
• Understand the entire business revenue flow and
organize the sales training in order to derive max. efficiency
from each therapist within the team.
• Coordination & working with different teams for smooth
sales punching and data maintenance.
• Updating the management team with progress, challenges, and
developments on a periodic basis.
We are a self organized engineering team with a passion for programming and solving business problems for our customers. We are looking to expand our team capabilities on the DevOps front and are on a lookout for 4 DevOps professionals having relevant hands on technical experience of 4-8 years.
We encourage our team to continuously learn new technologies and apply the learnings in the day to day work even if the new technologies are not adopted. We strive to continuously improve our DevOps practices and expertise to form a solid backbone for the product, customer relationships and sales teams which enables them to add new customers every week to our financing network.
As a DevOps Engineer, you :
- Will work collaboratively with the engineering and customer support teams to deploy and operate our systems.
- Build and maintain tools for deployment, monitoring and operations.
- Help automate and streamline our operations and processes.
- Troubleshoot and resolve issues in our test and production environments.
- Take control of various mandates and change management processes to ensure compliance for various certifications (PCI and ISO 27001 in particular)
- Monitor and optimize the usage of various cloud services.
- Setup and enforce CI/CD processes and practices
Skills required :
- Strong experience with AWS services (EC2, ECS, ELB, S3, SES, to name a few)
- Strong background in Linux/Unix administration and hardening
- Experience with automation using Ansible, Terraform or equivalent
- Experience with continuous integration and continuous deployment tools (Jenkins)
- Experience with container related technologies (docker, lxc, rkt, docker swarm, kubernetes)
- Working understanding of code and script (Python, Perl, Ruby, Java)
- Working understanding of SQL and databases
- Working understanding of version control system (GIT is preferred)
- Managing IT operations, setting up best practices and tuning them from time-totime.
- Ensuring that process overheads do not reduce the productivity and effectiveness of small team. - Willingness to explore and learn new technologies and continuously refactor thetools and processes.
- Participate in full machine learning Lifecycle including data collection, cleaning, preprocessing to training models, and deploying them to Production.
- Discover data sources, get access to them, ingest them, clean them up, and make them “machine learning ready”.
- Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
- Partner with data scientists to understand and implement machine learning algorithms.
- Support A/B tests, gather data, perform analysis, draw conclusions on the impact of your models.
- Work cross-functionally with product managers, data scientists, and product engineers, and communicate results to peers and leaders.
- Mentor junior team members
Who we have in mind:
- Graduate in Computer Science or related field, or equivalent practical experience.
- 4+ years of experience in software engineering with 2+ years of direct experience in the machine learning field.
- Proficiency with SQL, Python, Spark, and basic libraries such as Scikit-learn, NumPy, Pandas.
- Familiarity with deep learning frameworks such as TensorFlow or Keras
- Experience with Computer Vision (OpenCV), NLP frameworks (NLTK, SpaCY, BERT).
- Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
- Understand machine learning principles (training, validation, etc.)
- Strong hands-on knowledge of data query and data processing tools (i.e. SQL)
- Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
- Experience deploying highly scalable software supporting millions or more users
- Experience building applications on cloud (AWS or Azure)
- Experience working in scrum teams with Agile tools like JIRA
- Strong oral and written communication skills. Ability to explain complex concepts and technical material to non-technical users
Education B:-E IT/CE, ME IT/CE, BCA, MCA, BSc IT, MSc IT
Experience:-Minimum 3 to maximum 5 years
Job Timings 10:00 to 07:30 IST (5 Day working)
Location:-Ahmedabad (Currently work from home)
Salary Range Up to 32K CTC PM
Requirements:
▪ 3-4 Year of experience in Laravel, MySQL
▪ Deep understanding and hands on experience in MySQL.
▪ Laravel MVC, Cron Job, Form request validation, Service Design pattern
▪ Must be good at technical and analytics skills
▪ Good grip over documentation
▪ Good communication skills
▪ Understanding of web development process (Design, Development, and deployment)
▪ Experience in building and consuming REST API
▪ Good Knowledge of Javascript, JSON, AJAX
Good to have:
▪ Familiar with GIT, Version control
▪ Exposure with third-party libraries and APIs
▪ Laravel Custom artisan command, Service Design pattern
Responsibility:
▪ Enjoy agile development
▪ Able to work independently with minimal supervision
▪ Flexibility, energy, and ability to work well with others in a team environment String problem-solving skills.
Perks:
▪ 5 Days/Week
▪ Subscriptions of Laracast.com, egghead.io, All the Wesbos courses
▪ Chance to work on Indie SaaS Products
▪ Chance to work on modern and cutting-edge technologies
▪ High-performance Mac devices
▪ A young team of developers
Job description
Position: Data Scientist
Location: Bangalore
Long Term Contract position
Remote Till Covid
Experience in applied data science, analytics, data storytelling.
- Write well documented code that can be shared and used across teams, and can scale to be used in existing products. SQL, Advanced Python or R (descriptive / predictive models), Tableau Visualization. Working knowledge of Hadoop, BigQuery, Presto, Vertica
- Apply your expertise in quantitative analysis, data mining, and the presentation of data to uncover unique actionable insights about customer service, health of public conversation and social media
- Inform, influence, support, and execute analysis that feeds into one of our many analytics domains - Customer analytics, product analytics, business operation analytics, cost analytics, media analytics, people analytics
- Select and deselect analytics priorities, insights and data based on ability to drive our desired outcomes
- Own the end to end process, from initiation to deployment, and through ongoing communication and collaboration, sharing of results to partners and leadership
- Mentor and create sense of community and learning environments for our global team of data analysts
Soft skills:
- Ability to communicate findings clearly to both technical and non-technical audiences and to effectively collaborate within cross-functional teams
- Working knowledge of agile framework and processes.
- You should be comfortable managing work plans, timelines and milestones
- You have a sense of urgency, move quickly and ship things
Bonus Points:
- You're experienced in metrics and experiment-driven development
- Experience in statistical methodology (multivariate, time-series, experimental design, data mining, etc.)