About LINC Education LINC Education (www.linceducation.com), based in Singapore, is a global pioneer in providing high-touch, high-quality educator-led support services to universities around the world. Its specialist services are highly sought after by university managements and faculty to retain and grow their online student enrolments. LINC’s services are customized for each university, and delivered using a cutting-edge technology platform (LINCtrac) to provide a superior and effective learning experience to students. LINC is managed by education sector professionals with more than 30 years of combined experience and overseen by an advisory board of the best academic professionals in the world. Dr. M Rammohan Rao (ex-Dean, Indian School of Business and ex-Director, IIM Bangalore) and Deepak Chandra (Secretary – Education, Rajiv Gandhi Foundation and ex-Deputy Dean, Indian School of Business) are members of the LINC Board of Advisors. Responsibilities and Duties LINC is seeking experienced faculty members in the field of Cyber Security across a range of subjects including Network Technologies and Security, Ethical Hacking, Digital Forensics, Data Analysis and Visualisation, Cybersecurity Ethics and Cyberspace Policy. As an experienced faculty member (LINC Fellow), the candidate will serve a diverse international student body for Masters-level programs studying at premier Australian universities. LINC Fellows will be the single point-of-contact for the course-in-charge for student academic matters. LINC Fellows would be “actively engaged” on courses expected to range between 8 to 13 weeks at a time. LINC Fellows will work closely under the guidance of the university faculty-in-charge of the course (or subject) and be responsible for providing: • Guidance to a group of 25-30 postgraduate online students to complete the course • Orientation and support in study planning • Support in report writing and research skills • Guidance on relevant reference material • Assessment marking and feedback • Responding to student queries in a timely manner • Managing discussion boards LINC Fellows will be expected to promptly interact with students over telephone and email from locations of their convenience (e.g. home, office etc.). Required Experience, Skills and Qualifications LINC Fellows candidates must meet the following criteria very strictly: • Minimum Education Qualification: Any of the below qualifications with a distinction of first class from a top university in India o Doctoral degree in the Computer Sciences / Information Technology domain OR o Masters e.g. M.Tech. (Cyber Security), M.Tech. (Information Security), M.Sc. (Information Security) OR o Masters (M.Tech., M.Sc., MCA) in Computer Sciences or IT with a PG Diploma in Cyber Security • At least 5 years of work experience, including o At least 1 year of post-graduate level teaching experience in the field of Cyber Security / Information Security • Highly proficient in spoken and written English • Empathetic, ambitious, warm and outgoing personality willing to work closely with people from diverse cultures • Ability to quickly learn and use technology platforms for interacting with student including host university’s LMS and LINCtrac (training on these platforms will be provided). Only candidates based in Mumbai, Pune, Delhi and Bangalore will be considered. Benefits This is a unique opportunity for academic professionals in the field of Cyber Security to: • Interact with high-quality global university faculty • Work with a diverse range of international students • Develop deeper subject understanding • Gain richer academic exposure • Improve interpersonal and cross-cultural skills The role will be PART-TIME (15-20 hours per week) with scheduled weekend availability. Candidate will have flexibility to work from location of their convenience. The role offers a competitive remuneration between INR 30,000-50,000 per month (when the LINC Fellow is actively engaged in a course), and performance incentives.
Hi, Would you like to design the visual language of the product, which can help to reduce lower crime rate in India with our criminal search product. Thanks Shashi
Tradeindia is looking for Machine Learning Engineers to join its engineering team. The ideal candidate will have industry experience working on a recommendation engine, a range of classification and optimization problems e.g.: Collaborative filtering/recommendation User journey prediction Search ranking Text/ sentiment classification or spam detection Predictive analytics The position will involve taking Algorithm and Programming skills and applying them to some of the most exciting and massive SMEs user data. Qualification: M.tech, B.tech, M.C.A. Location: New Delhi About the company: Launched in the year 1996 to offer the Indian Business community a platform to promote themselves globally tradeindia.com has created a niche as India's largest B2B marketplace, offering comprehensive business solutions to the Domestic and Global Business Community through its wide array of online services, directory services and facilitation of trade promotional events. Our portal is an ideal forum for buyers and sellers across the globe to interact and conduct business smoothly and effectively. With an unmatched expertize in data acquisition and online promotion, Tradeindia subsumes a huge number of company profiles and product catalogs under 2,256 different product categories and sub-categories. It is well promoted on all major search engines and receives an average of 20.5 million hits per month. Tradeindia is maintained and promoted by INFOCOM NETWORK LTD. Today we have reached a database of 47,66,674 registered users (Jan 2019), and the company is growing on a titanic scale with a considerable amount of new users joining/registering everyday, under the innovative vision and guidance of Mr. Bikky Khosla, CEO.
Responsibilities :- Build and manage actionable Sales Analytics solutions and KPIs to continually improve processes- Develop analytics products and manage the feature roadmap for analytics components- Liaison with product team, delivery team for seamless integration with products & product installations for customers- Translate the product requirements into analytics components specification- Scoping the Analytics project requirements and created detailed project plan for the team members- Hiring, Retention & ramping the team for evolving technologies- Project management & timelines tracking- Acts as consultant & technical help point of contact for the team members & spec out the technical details for implementation- Drive the product roadmap in consultation with leadership team- Ability to solution a analytics prototype for new customers if required- Desirable to have hands-on exposure in tools and technologies- Have strong work ethics and lead the team by example and hold the team accountable for objectives- Willingness to work in demanding environments- Ongoing support for customer issues in analytics componentsSkills & Qualifications :- 8+ years experience in an analytical roles with atleast 2+ year in managing team in supervisory roles- Have proven competencies in managing team and hands-on experience in Data preprocessing, ML Algorithms, Python packages for data science.- Demonstrated capabilities to run end to end analytics projects from data ingestion to modeling to visualization- Desirable to have exposure in NLP, Chat Bot development, information retrieval, exposure to developing analytics solutions using Google Cloud Platform or Azure on AWS etc- Demonstrated ability to think of solving the problems at scale and in compute efficient ways- Strong quantitative & analytical skills. Demonstrated abilities to spot issues with customer data and propose alternate approaches to mitigate the problems- High SQL and Excel proficiency- Excellent cross-functional working skills- Experience with operational process improvement and implementation- Strong presentation skills and ability to formulate strategic initiatives- Exceptional written and oral communication skills- Exceptional organizational skillsGood To Have :- 2+ years experience leading an analytical team of atleast 6-8 team members- Exposure to Analytics platforms and ability to build solutions using them- Business optimization experience- Sales & Marketing Analytics Experience- Management consulting experience
Job Overview :We are looking for an experienced Data Science professional to join our Product team and lead the data analytics team and manage the processes and people responsible for accurate data collection, processing, modelling and analysis. The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our clients. The incumbent will work closely with leaders across product, sales, and marketing to support and implement high-quality, data-driven decisions. They will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow. They will use advanced data modelling, predictive modelling, natural language processing and analytical techniques to interpret key findings.Responsibilities for Analytics Manager :- Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.- Design and build technical processes to address business issues.- Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.- Examine, interpret and report results to stakeholders in leadership, technology, sales, marketing and product teams.- Develop and implement quality controls and standards to ensure quality standards- Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.- Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.- Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.Qualifications for Analytics Manager :- Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple cloud-based data sources- Strong SQL skills, ability to perform effective querying- Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analysing data, drawing conclusions, and developing actionable recommendations for business units.- Experience and knowledge of statistical modelling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.- Experience working with and creating databases and dashboards using all relevant data to inform decisions.- Strong problem solving, quantitative and analytical abilities.- Strong ability to plan and manage numerous processes, people and projects simultaneously.- Excellent communication, collaboration and delegation skills.- We- re looking for someone with at least 5 years of experience in a position monitoring, managing and drawing insights from data, and someone with at least 3 years of experience leading a team. The right candidate will also be proficient and experienced with the following tools/programs :- Strong programming skills with querying languages: R, Python etc.- Experience with big data tools like Hadoop- Experience with data visualization tools: Tableau, d3.js, etc.- Experience with Excel, Word, and PowerPoint.
Looking for Immediate JoinersAt LatentView, we would expect you to:- Independently handle delivery of analytics assignments- Mentor a team of 3 - 10 people and deliver to exceed client expectations- Co-ordinate with onsite LatentView consultants to ensure high quality, on-time delivery- Take responsibility for technical skill-building within the organization (training, process definition, research of new tools and techniques etc.)You'll be a valuable addition to our team if you have:- 3 - 5 years of hands-on experience in delivering analytics solutions- Great analytical skills, detail-oriented approach- Strong experience in R, SAS, Python, SQL, SPSS, Statistica, MATLAB or such analytic tools would be preferable- Working knowledge in MS Excel, Power Point and data visualization tools like Tableau, etc- Ability to adapt and thrive in the fast-paced environment that young companies operate in- A background in Statistics / Econometrics / Applied Math / Operations Research / MBA, or alternatively an engineering degree from a premier institution.
About Us DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions. Products@DataWeave We, the Products team at DataWeave, build data products that provide timely insights that are readily consumable and actionable, at scale. Our underpinnings are: scale, impact, engagement, and visibility. We help businesses take data driven decisions everyday. We also give them insights for long term strategy. We are focused on creating value for our customers and help them succeed. How we work It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale! Read more on Become a DataWeaver (https://dataweave.com/in/careers) What do we offer? - Opportunity to work on some of the most compelling data products that we are building for online retailers and brands. - Opportunity to define and build new products; opportunity to productize our innovative AI/ML capabilities. - Ability to see the impact of your work and the value you are adding to our customers almost immediately. - A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours. - Learning opportunities with courses, trainings, and tech and product conferences. Mentorship from seniors in the team. - Last but not the least, competitive salary packages and fast paced growth opportunities. Role and Responsibilities - You will be responsible for the overall success of our products. You will work closely with the VP of Products, the CEO to develop a vision, strategy, and road map for the product. - You will work with the tech leadership across products, data science, and engineering to identify productization opportunities. - Detail out market requirements for current and future products by conducting market research supported by inputs from customer success and sales teams and on-going discussions with customers. - Develop and implement a company-wide go-to-market plan; work with multiple functions to execute it. - Work closely with engineering, design, and data science teams to deliver products that our customers love. - Manage the entire product life cycle from planning to execution: prioritization, release cycles, quality and timeliness of delivery, customer engagement, and feedback. - Clearly identify the value proposition of the product and all its features to help our sales and CSM teams. - Take ownership of product messaging. Collaborate with marketing on product and customer marketing, mapping competitor landscape, help in developing product related content, create collaterals. - Help in sales enablement. Be part of sales calls. Work with customer success team post sales to engage with our customers. - Work with our customers to understand their pain points, be their champion internally, prioritize requirements that create impact. - Manage expectations across teams. Ensure our work is always aligned with our product strategy even as we build stuff at a rapid pace. - Balance new feature building with stabilizing our existing products and giving the best product support. Identify automation opportunities aggressively. Define processes for product support. - Engage with tech teams. Bring in/evolve best practices. Align the team towards common objectives. - Collaborate with the data science team to: productize proven capabilities, and identify new product opportunities. Skills and Requirements - More than 5 years of product management experience including experience building and shipping data products. Experience with product marketing is a desirable. - This is a technical product management role. Therefore, a solid engineering background with hands on experience in software design and development is highly desirable. - Experience working with large scale data/analytics systems is a bonus. Awareness of developments in the field of AI and ML is a bonus. - Ability to think from first principles; ability to think at the right level of abstraction; strong problem solving skills (both technical and non-technical). - Excellent written and verbal communication skills. Ability to tell a compelling product story and rally the team around you to realize it. - Excellent teamwork skills, ability to engage, motivate, and drive cross-functional teams - Naturally curious, passionate. Have a strong business/customer focus. Can make strategies to win. - Experience working with and leading tech teams. Experience building and scaling product teams.
We, AllOnBlock are looking for a Data Scientist. The Data Scientist will help develop analytic products that identify and address high priority business operational challenges through data science and predictive analytics. The ideal candidate will have a keen interest in the study and improvement of various key industries, and a passion for identifying and answering questions using innovative analytical methods/techniques, including modeling and simulation, scenario analysis to help our clients solve their business problems. Company Profile: All On Block Corporation is a Palo Alto-based company making blockchain real for businesses. We have a suite of software products leveraging blockchain to transform your business and disrupt your industry. With blockchain, you can transact more smoothly and efficiently, and reimagine your key business processes. Our platform helps blockchain reshape industries in domains as varied as cannabis, supply-chain, finance, healthcare, government, and manufacturing. Our platform transforms your business with the ability to digitize your transaction workflows leveraging blockchain. Website Link : www.allonblock.com Position : Data Scientist Experience : 2+ years Job Location: Jaipur Key Responsibilities : Tools & Techniques: Data Analytics, Data Visualization, Statistics, Predictive Modeling, R, Python, HDFS, Big Data Analytics, AWS, Domain knowledge Desired Skills: 2 + years of professional experience working with large data sets and using analytics to drive business results. Distinctive analytical problem-solving ability on a range of business problems including ability to disaggregate key issues, identify root causes and recommend solutions. Exceptional numerical and statistical ability, with significant experience using statistical software packages such as R / python; familiar with non-relational databases, i.e., MongoDB, CouchDB etc. Sound knowledge and application of predictive modeling techniques. Ability to learn quickly and work on multiple projects simultaneously, and demonstrated ability to work in a fast-paced, demanding, and stimulating environment. Creative, persistent problem solver with ability to work independently or with minimal supervision. Critical thinking skills and demonstrated ability to focus on details Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner Strong ownership mindset with a focus on delivering high-quality end products Experience working with distributed computing tools (e.g., Map/Reduce, Apache Spark, Hadoop, Hive, etc.), user interface design, data visualization tools (Power BI, Tableau, Spotfire, Apache Superset) and scripting language such as Python is desirable. Experience in AWS Big Data Analytics Services like Glue, Athena, QuickSight would be a plus. Key Responsibilities: Disaggregate and structure complex, often ambiguous, business problems and evaluate different analytical approaches to develop potential solutions. Apply advanced analytics and quantitative tools, statistical modeling techniques, and data mining procedures and tools to derive business insights and solve complex business problems. Identify drivers and relationships between disparate data sets that can produce meaningful differentiation and insights. Contribute to team problem solving through findings and insights from analysis. Clearly communicate findings to key stakeholders and executives. Keep abreast of analytics best practices across the industry.