Sales Manager

Responsibilities • Design and implement overall recruiting strategy • Develop and update job descriptions and job specifications • Perform job and task analysis to document job requirements and objectives • Source and attract candidates by using databases, social media etc • Screen candidates resumes and job applications • Conduct interviews using various reliable personnel selection tools/methods to filter candidates within schedule • Assess applicants’ relevant knowledge, skills, soft skills, experience and aptitudes • Onboard new employees in order to become fully integrated • Monitor and apply hr recruiting best practices • Provide analytical and well documented reports to the rest of the team • Act as a point of contact and build influential candidate relationships during the selection process • Promote Darwin’s reputation as the “best place to work” Requirements • Proven work experience as a Recruiter (either an in-house recruiter or a staffing agency recruiter) • Solid ability to conduct different types of interviews (structured, competency-based, stress etc) • Hands on experience with various selection processes (phone interviewing, reference check etc) • Ability to organize skills assessment centers (in tray activities, work samples, psychometric and IQ/EQ tests, etc) • Excellent communication and interpersonal skills Strong decision-making skills

Role - Analytics Associate Director

About our Client :-

Our Client is a global data and measurement-driven media agency whose mission is to make brands more valuable to the world. Clients include Google, Flipkart, NBCUniversal, L'Oréal and the Financial Times. The agency is more than 2,000 people strong, manages $4.5B in annualized media spend, and deploys campaigns in 121 markets via 22 offices in APAC, EMEA and the Americas.

About the role :-

Accountable for quantifying and measuring the success of our paid media campaigns and for delivering insights that enable us to innovate the work we deliver at MFG. Leading multi-product projects, developing best practices, being the main point of contact for other teams and direct line management for multiple team members.

Some of the things we’d like you to do -

● Build a deep understanding of marketing plans and their objectives to help Account teams (Activation, Planning, etc) build comprehensive measurement, and test & learn plans
● Play an instrumental role in evolving and designing new, innovative measurement tools. Managing the process through to delivery and take ownership of global roll out
● Recruit, manage and mentor analytical resource(s), ensuring the efficient flow of work through the team, the timely delivery of high-quality outputs and their continuing development as professionals
● Lead the creation of clear, robust and thought-provoking campaign reviews and insights
● Work with Account teams (Activation, Planning, etc) to help define the correct questions to understand correct metrics for quantifying campaign performance
● To help deliver “best in class” analytical capabilities across the agency with the wider Analytics team, including the use of new methods, techniques, tools and systems
● Develop innovative marketing campaigns and assist clients to define objectives
● Develop deep understanding of marketing platform testing and targeting abilities, and act in a consultative capacity in their implementation
● Provide hands-on leadership, mentorship, and coaching in the expert delivery of data strategies, AdTech solutions, audiences solutions and data management solutions to our clients
● Leading stakeholder management on certain areas of the client portfolio
● Coordination and communication with 3rd party vendors to critically assess new/bespoke measurement solutions. Includes development and management of contracts and SOWs.

A bit about yourself -

● 8+ years of experience in a data & insight role; practical experience on how analytical techniques/models are used in marketing. Previous agency, media, or consultancy background is desirable.
● A proven track record in working with a diverse array of clients to solve complex problems and delivering demonstrable business success. Including (but not limited to) the development of compelling and sophisticated data strategies and AdTech / martech strategies to enable
marketing objectives.
● Ideally you have worked with Ad Platforms, DMPs, CDPs, Clean Rooms, Measurement Platforms, Business Intelligence Tools, Data Warehousing and Big Data Solutions to some degree
● 3+ years of management experience and ability to delegate effectively
● Proficiency with systems such as SQL, Social Analytics tools, Python, and ‘R’
● Understand measurement for both Direct Response and Brand Awareness campaigns desired
● Excellent at building and presenting data in a visually engaging and insightful manner that cuts through the noise
● Strong organizational and project management skills including team resourcing
● Strong understanding of what data points can be collected and analyzed in a digital campaign, and how each data point should be analyzed
● Established and professional communication, presentation, and motivational skills

4 - 8 overall experience.

• 1-2 years’ experience in Azure Data Factory - schedule Jobs in Flows and ADF Pipelines, Performance Tuning, Error logging etc..
• 1+ years of experience with Power BI - designing and developing reports, dashboards, metrics and visualizations in Powe BI.
• (Required) Participate in video conferencing calls - daily stand-up meetings and all day working with team members on cloud migration planning, development, and support.
• Proficiency in relational database concepts & design using star, Azure Datawarehouse, and data vault.
• Requires 2-3 years of experience with SQL scripting (merge, joins, and stored procedures) and best practices.
• Knowledge on deploying and run SSIS packages in Azure.
• Knowledge of Azure Data Bricks.
• Ability to write and execute complex SQL queries and stored procedures.

Job Role – Front-End Developer
Experience – 5+ years
Job Location- Hyderabad
Mode of Work- Work from office
Eligibility Criteria
 Should have an aggregate of 60% in the academics till date.
 Any Graduate/Post Graduate.
 Frontend Developer (React JS & Next JS)
 Primary Skills: Next JS, Angular JS 8, MERN Stack, HTML 5, CSS3, Bootstrap 5, Java, Relational and NonSQL Database (added advantage) (SQL and Mongodb), JIRA
Required skills, Roles & Responsibilities
 Developing new user-facing features using React.js
 Building reusable components and front-end libraries for future use
 Translating designs and wireframes into high quality code
 Optimizing components for maximum performance across a vast array of
 web-capable devices and browsers
 Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
 Good knowledge of HTML5 and CSS3 with Bootstrap5
 Good working Knowledge of Angular JS, Node.js and Next JS
 Thorough understanding of React.js and its core principles and implementations
 Experience with popular React.js workflows (such as Context API, Hooks, Flux and Redux)
 Familiarity with newer specifications of Ecma Script
 Experience with data structure libraries (e.g., Immutable.js)
 Knowledge of isomorphic React is a plus
 Knowledge on Database (Relational and No SQL Database) is highly recommended
 Familiarity with RESTful APIs
 Knowledge of modern authorization mechanisms, such as JSON Web Token
 Familiarity with modern front-end build pipelines and tools
 Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
 Ability to understand business requirements and translate them into technical requirements
 A knack for benchmarking and optimization
 Familiarity with code versioning tools such as Git and SVN.
 Leading the team in the correct direction
 Preparing the necessary technical and non-technical documents
 Assisting the team in internal auditing and external auditing if needed
 Code Reviews and Code deployments (as he will be doing the changes in the live window for now and push the
changes to Prod)
 Assisting the QA team in testing and making them understand the business requirement

Who we are?
Outplay is building the future of sales engagement, a solution that helps sales teams personalize at scale while consistently staying on message and on task, through true multi-channel outreach including email, phone, SMS, chat and social media. Outplay is the only tool your sales team will ever need to crush their goals. Funded by Sequoia - Headquartered in the US. Sequoia not only led a $2 million seed round in Outplay early this year, but also followed with $7.3 million Series - A recently. The team is spread remotely all over the globe.

Perks of being an Outplayer :
• Fully remote job - You can be on the mountains or at the beach, and still work with us. Outplay is a 100% remote company.
• Flexible work hours - We believe mental health is way more important than a 9-5 job.
• Health Insurance - We are a family, and we take care of each other - we provide medical insurance coverage to all employees and their family members. We also provide an additional benefit of doctor consultation along with the insurance plan. 
• Annual company retreat - we work hard, and we party harder.
• Best tools - we buy you the best tools of the trade
• Celebrations - No, we never forget your birthday or anniversary (be it work or wedding) and we never leave an opportunity to celebrate milestones and wins.
• Safe space to innovate and experiment
• Steady career growth and job security

About the Role:
We are looking for a Senior Data Scientist to help research, develop and advance the charter of AI at Outplay and push the threshold of conversational intelligence.

Job description :
• Lead AI initiatives that dissects data for creating new feature prototypes and minimum viable products
• Conduct product research in natural language processing, conversation intelligence, and virtual assistant technologies
• Use independent judgment to enhance product by using existing data and building AI/ML models
• Collaborate with teams, provide technical guidance to colleagues and come up with new ideas for rapid prototyping. Convert prototypes into scalable and efficient products.
• Work closely with multiple teams on projects using textual and voice data to build conversational intelligence
• Prototype and demonstrate AI augmented capabilities in the product for customers
• Conduct experiments to assess the precision and recall of language processing modules and study the effect of such experiments on different application areas of sales
• Assist business development teams in the expansion and enhancement of a feature pipeline to support short and long-range growth plans
• Identify new business opportunities and prioritize pursuits of AI for different areas of conversational intelligence
• Build reusable and scalable solutions for use across a varied customer base
• Participate in long range strategic planning activities designed to meet the company’s objectives and revenue goals

Required Skills :
• Bachelors or Masters in a quantitative field such as Computer Science, Statistics, Mathematics, Operations Research or related field with focus on applied Machine Learning, AI, NLP and data-driven statistical analysis & modelling.
• 4+ years of experience applying AI/ML/NLP/Deep Learning/ data-driven statistical analysis & modelling solutions to multiple domains. Experience in the Sales and Marketing domain is a plus.
• Experience in building Natural Language Processing (NLP), Conversational Intelligence, and Virtual Assistants based features.
• Excellent grasp on programming languages like Python. Experience in GoLang would be a plus.
• Proficient in analysis using python packages like Pandas, Plotly, Numpy, Scipy, etc.
• Strong and proven programming skills in machine learning and deep learning with experience in frameworks such as TensorFlow/Keras, Pytorch, Transformers, Spark etc
• Excellent communication skills to explain complex solutions to stakeholders across multiple disciplines.
• Experience in SQL, RDBMS, Data Management and Cloud Computing (AWS and/or Azure) is a plus.
• Extensive experience of training and deploying different Machine Learning models
• Experience in monitoring deployed models to proactively capture data drifts, low performing models, etc.
• Exposure to Deep Learning, Neural Networks or related fields
• Passion for solving AI/ML problems for both textual and voice data.
• Fast learner, with great written and verbal communication skills, and be able to work independently as
well as in a team environment

Warehouse executive normal work picking, inventory management, stock picking, stock allocation as per the billing, stock checking and General work of all activities in warehouse