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.
About UpGrad : About us: UpGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. UpGrad currently offers programs in Data Analytics, Product Management, Digital Marketing, and Entrepreneurship, and was rated as one of the top 10 most innovative companies in India for 2017 - https://www.fastcompany.com/most-innovative-companies/2017/sectors/india . We plan to launch 6 more programs in technology and management education. UpGrad is co-founded by 3 IITD alumni, and the 4th co-founder is serial entrepreneur Ronnie Screwvala. UpGrad has a committed capital of 100Cr and in the first year of operations, has built the largest revenue generating online program in India (PG Diploma in Data Analytics) and the largest enrolment online program in India (Startup India learning program). UpGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow. Position : Senior Data Scientist Position Type : Full Time Location : Mumbai Job Description: Are you excited by the challenge and the opportunity of applying data-science and data-analytics techniques to the fast developing education technology domain? Do you look forward to, the sense of ownership and achievement that comes with innovating and creating data products from scratch and pushing it live into Production systems? Do you want to work with a team of highly motivated members who are on a mission to empower individuals through education? If this is you, come join us and become a part of the UpGrad technology team. At UpGrad the technology team enables all the facets of the business - whether it’s bringing efficiency to our marketing and sales initiatives, to enhancing our student learning experience, to empowering our content, delivery and student success teams, to aiding our student’s for their desired career outcomes. We play the part of bringing together data & tech to solve these business problems and opportunities at hand. We are looking for an highly skilled, experienced and passionate data-scientist who can come on-board and help create the next generation of data-powered education tech product. The ideal candidate would be someone who has worked in a Data Science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, and have a track record of developing and deploying data-science models into live applications. Someone with a strong math, stats, data-science background, comfortable handling data (structured+unstructured) as well as strong engineering know-how to implement/support such data products in Production environment. Ours is a highly iterative and fast-paced environment, hence being flexible, communicating well and attention-to-detail are very important too. The ideal candidate should be passionate about the customer impact and comfortable working with multiple stakeholders across the company. Basic Qualifications: 3+ years of experience in analytics, data science, machine learning or comparable role Bachelor's degree in Computer Science, Data Science/Data Analytics, Math/Statistics or related discipline Experience in building and deploying Machine Learning models in Production systems Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand Strong programming skills: comfortable with Python - pandas, numpy, scipy, matplotlib; Databases - SQL and noSQL Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non data-science background stakeholders Comfortable dealing with ambiguity and competing objectives Preferred Qualifications: Experience in Text Analytics, Natural Language Processing Advanced degree in Data Science/Data Analytics or Math/Statistics Comfortable with data-visualization tools and techniques Knowledge of AWS and Data Warehousing Passion for building data-products for Production systems - a strong desire to impact the product through data-science techniques
Product Manager - Consumer App This role is focused on building consumer-facing applications for Myrsa. You will be responsible for conceptualizing and building user experience across apps/website, dashboards and evolve these to include mpower & vbooku. You will define and manage all critical user journeys and conversion funnels across apps/website be responsible for launch and change management of features going live on apps/website. You will work closely with PMs responsible for all key verticals (health & Wellness, Events, Public Service, Food and sales & Marketing) to create a simple and delightful experience for our users. PMs on the team enjoy a high degree of responsibility and ownership. As a member of the Product Team, you will drive the strategy, roadmap, execution, and growth of a product area. You will work closely with other product managers, engineers, designers, sales, marketing, legal, analytics and do everything (defining requirements, prioritizing, testing, writing copy, tracking metrics etc.) to ship high-quality products. Looking for: User-facing products experience We are looking for folks that have experience with designing simple and intuitive user interfaces – ability to create examples through wireframes and mockups. People who have demonstrated an understanding of consumer behavior and psychology in building products and have a passion for building persuasive, sticky products will be a great fit. Myrsa PMs care not just about the technology but also the psychology that makes great products. Customer Obsession Product Managers at Myrsa are highly customer focussed and are obsessed with the quality of customer experience in all its details Fundamental, Independent and Structured thinking Myrsa is solving tough problems and in a way, no one else is aspiring to. This requires the PMs to bring in independent thought, like to challenge conventional thinking and identify opportunities to drastically simplify and improve ways of doing things, especially using technology. Our PMs are self-driven, like to work fairly independently and can drive progress without needing constant oversight or direction - we are a start-up and in a start-up, things don’t get done unless someone makes them happen every day. Our culture values independence and ownership and we don’t like supervisory overhead :) Skill set: • Basic prototyping and communication of ideas through visual media • Comfort with data, visualizations, and analytics. Knowledge of SQL is a plus • Minimum 3+ years of product management experience in building and shipping consumer products, especially on mobile devices (apps, progressive web)
You'll be giving industry standard training to engineering students and mentoring them to develop their custom mini projects.