Software Developers can work in a variety of areas. As such, you might be involved in any of these specialties :Backend, Server Systems, or Cloud-Based Development :- Design and code servers, services, applications and databases that are reusable, scalable and meet critical architecture goals.- Create Application Programming Interfaces (APIs) that are clean, well-documented, and easy to use. - Create and configure Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) applications. - Design and implement large scale systems and Service Oriented Architectures (SOA) that enable continuous delivery.Client-Facing Assistance and Solution Development :- Own the customer experience by solving complex business problems for the world's leading clients. - Work directly with the customer to understand and troubleshoot issues, collect data, elicit detailed requirements, then design and implement innovative solutions across multiple industries and sectors, as well as governments and agencies.Automation Development and Testing :- Enable continuous deployment and availability by designing, developing and creating automated frameworks, processes and test cases based on functional and non-functional requirements. - Build and manage testing environments, assisting in debugging application issues.Front End Development :- Create high-quality web and mobile apps containing rich content and user interface components by working closely with user experience designers to take wireframes and mockups from conception to implementation. - Identify specific issues in the user interface, recommending and implementing solutions that influence and improve the design of products that provide a delightful user experience along with high performance, security, quality, and stability.Full Stack Development :- Work across the entire system architecture, from backend to front end, to design, develop, and support high quality and scalable products. - Create everything from mockups and UI components to algorithms and data structures as you deliver a complete minimally viable product.
LogiNext is looking for a dynamic and competent Product Manager to become the eyes and ears of our clients and translate their needs into the world's best SaaS product. You will work closely with the engineering, design and business development team to come up with the best strategy for product features and roadmap to solve on-ground logistics problems. You will be accountable for the entire product lifecycle, right from planning through development, go-live, and retirement phases. - You possess a strong understanding and experience in launching enterprise SaaS products with a customer centric vision. - You have a passion to deep-dive into data and ability to make your decisions on basis of the data you have - or don- t have. - You are a master at creating a win-win situation for your customers and your product by providing compatible world-class solutions to customers problem.Responsibilities :- Build the product strategy and roadmap in line with customers problems and company's vision- Lead a set of cross functional teams by translation of the product strategy into detailed requirements and prototypes to drive the product development goals - Identify market opportunities with research and competitive analysis and integrate it into product requirements to enhance user satisfaction- Analyze complex use cases with experience in using analytics platforms to understand product usability and break them down to simplify user experience- Design simple and intuitive user interfaces through wireframes and mock-ups- Listen to the clients on an ongoing basis, be a trusted advisor and work towards aligning our offerings to their expectations- Develop and launch new products while enhancing the existing products on a timely basis- Communicate the product solutions and offerings effectively internally and externally- Be persistent and professional in pursuit of all product deliverables and documentation such as PRD and Knowledge Base- Be updated with the emerging trends in IT and technical architectureRequirements : - Master's Degree in Computer Science, Information Technology, Business Management, Statistics or related field - 5+ years of experience managing web and mobile products with a background in technical product management or engineering- 3+ years of experience in building global enterprise SaaS products - Prior experience in logistics, supply chain, e-commerce or transportation domain is a plus- Proven ability to drive large scale products with deep understanding of agile, high collaboration and leadership in a highly accelerated work environment- Excellent client-facing and internal communication skills with a fair understanding of what makes a good user experience and beautiful design- Spontaneous, quick thinker and a self-starter with key organizational skills that includes attention to detail and multi-tasking
If hired, what you would do at numberz:- Mapping potential clients and scheduling meetings with them Proven experience in dealing with senior Finance executives in the companies. Plan weekly- sales- cycle and meet prospective clients on a daily basis- Preparing client and market mapping reports for his business segment Responsible for timely invoicing and collection of payment from the clients Media Tracking to generate prospects Preparing- sales- and- sales- related reports including daily call reports, weekly reports,- sales- projection report, monthly- sales- plan etc. Plan and budget revenue generation for the week and month Maintain strong relationships with clients in his/her portfolio and churn more business from the listed accounts Who should join us:- 5-10 years Alliances/business development experience ideally within the IT, Payments, Fintech start-up Proven experience working with medium and large organisations with their Finance Teams Solid understanding of the end-to- end account management/sales- process- Outstanding verbal, written and presentation skills- Ability to assess client requirements Previous experience in Solution Selling is an added bonus
Description Does solving complex business problems and real world challenges interest you Do you enjoy seeing the impact your contributions make on a daily basis Are you passionate about using data analytics to provide game changing solutions to the Global 2000 clients Do you thrive in a dynamic work environment that constantly pushes you to be the best you can be and more Are you ready to work with smart colleagues who drive for excellence in everything they do If you possess a solutions mindset, strong analytical skills, and commitment to be part of a tremendous journey, come join our growing, global team. See what Saama can do for your career and for your journey. Position: Data Scientist (2255) Location: Hinjewadi Phase 1, Pune Type: Permanent Full time Responsibilities: Work on small and large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about the client s business and develop methods to leverage that knowledge for their business. Identify and solve business challenges working closely with cross-functional teams, such as Delivery, Business Consulting, Engineering and Product Management. Develop prescriptive and predictive statistical, behavioral or other models via machine learning and/ or traditional statistical modeling techniques, and understand which type of model applies best in a given business situation. Drive the collection of new data and the refinement of existing data sources. Analyze and interpret the results of product experiments. Provide input for engineering and product teams as they develop and support our internal data platform to support ongoing statistical analyses. Requirements: Candidates should demonstrate following expertize- Must have Direct Hands-on, 7 years of experience, building complex systems using any Statistical Programming Language (R / Python / SAS) Must have fundamental knowledge of Inferential Statistics Should have worked on Predictive Modelling Experience should include the following, o File I/ O, Data Harmonization, Data Exploration o Multi-Dimensional Array Processing o Simulation & Optimization Techinques o Machine Learning Techniques (Supervised, Unsupervised) o Artificial Intelligence and Deep Learning o Natural Language Processing o Model Ensembling Techniques o Documenting Reproducible Research o Building Interactive Applications to demonstrate Data Science Use Cases Prior experience in Healthcare Domain, is a plus Experience using Big Data, is a plus. Exposure to SPARK is desirable Should have Excellent Analytical, Problem Solving ability. Should be able to grasp new concepts quickly Should be well familiar with Agile Project Management Methodology Should have experience of managing multiple simultaneous projects Should have played a team lead role Should have excellent written and verbal communication skills Should be a team player with open mind Impact on the business: Plays an important role in making Saama s Solutions game changers for our strategic partners by using data science to solve core, complex business challenges. Key relationships: Sales & pre-sales Product management Engineering Client organization: account management & delivery Saama Competencies: INTEGRITY: we do the right things. INNOVATION: we change the game. TRANSPARENCY: we communicate openly COLLABORATION: we work as one team PROBLEM-SOLVING: we solve core, complex business challenges ENJOY & CELEBRATE: we have fun Competencies: Self-starter who gets results with minimal support and direction in a fast-paced environment. Takes initiative; challenges the status quo to drive change. Learns quickly; takes smart risks to experiment and learn. Works well with others; builds trust and maintains credibility. Planful: identifies and confirms key requirements in dynamic environments; anticipates tasks and contingencies. Communicates effectively; productive communication with clients and all key stakeholders communication in both verbal and written communication. Stays the course despite challenges & setbacks. Works well under pressure. Strong analytical skills; able to apply inductive and deductive thinking to generate solutions for complex problems