We are looking for Data Scientists who will help us build high-quality prediction and recommendation systems to be integrated with our products. Your primary focus will be to use your quantitative knowledge, programming skills and analytical ingenuity to discover information hidden in vast amounts of data, and help businesses make smarter decisions. Responsibilities: Works to develop analytical/ data mining/ machine learning models using Python, R and other tools Gather, evaluate and document requirements, ability to build an algorithm (statistical/ data mining/ machine learning) based on requirements and specifications provided Works with data and is able to conceptualize and improvise analytical solutions to problems Ability to deploy analytical algorithms within a larger business application Ability to visualize data and results of data analysis & analytical models Requirements: Experience with statistical analysis using R and Python. Experience with Spark, ML and Java as plus Good experience in data discovery, exploration and algorithm development Experience with working on large data sets and developing scalable algorithms Hands-on experience of machine learning and data mining algorithms such as decision trees, classifiers, text mining/ NLP, clustering, and regression Exp in SAS, SPSS is a plus Knowledge of Hadoop and other distributed computing platforms Broad knowledge of data mining, NLP algorithms, machine learning algorithms and other techniques technologies Strong analytical and problem-solving skills If this sounds like something you enjoy, then do apply. We'd love to hear from you!
We are building a complex Big Data product which aims to revolutionize sales prospecting by crunching billions of data points and applying sophisticated machine learning & AI algorithms. Hence, we are looking for a Data Governance Analyst to ensure that the quality of this product always stays top-notch and world class. If you love working with data, have an eye for detail and a strong adherence to quality then we’d love to hear from you. The Data Governance Analyst is a senior level position where the analyst will work under the general direction of the Chief Data Scientist and senior staff in the Data Management team. The primary responsibility is to treat data as an asset, and become the expert source for data standards and policy related questions. RESPONSIBILITIES: Manage the creation, deployment, and maturity of data governance processes and technology including master data, metadata, and data quality initiatives Identify opportunities to ensure transparent and high-quality data across multiple sources and platforms Reviews, cleans and adds business and formatting rules to every taxonomy/hierarchy in the product Database in support of long-term data governance. Develop objects within data quality tools for cleansing, de-duplicating, and other data preparation Collaborate with various teams to standardize data and ensure adherence to the data ingestion and governance standards Conduct root cause analysis and proposed improvement solutions Leverage subject matter expertise to ensure data products are understood by business user This position requires a proficient level of experienced analytical and programming capabilities, defining requirements, developing and/or maintaining computer applications/systems, and ability to meet business needs within deadlines. REQUIREMENTS: 3 - 6 years in Data analysis, data quality and data governance Proficiency with working with data (profiling, cleansing and transforming) in multiple databases Experience in setting up and managing master data, metadata, and over-all data quality Strong experience of data analysis and data management using a variety of open source tools Come with experience navigating unstructured, complex data environments Detail oriented results driven by the ability to manage multiple requirements in a dynamically changing environment Experience working with a complex big data product would be an added bonus Ability to pick up new software skills in short time frames Self-motivated and able to handle tasks with minimal supervision or questions Ability to write technical documents such as requirement specs or data standards
We are looking for an individual who enjoys taking initiative, adaptable and thrives in a high powered environment! Our platform is built using Python, R, Apache Spark, Luigi and Kafka (on the data-side) and Node.js / React (on the application side).If you have worked on any of these technologies, great! If not, doesn’t matter. As long as you are passionate about building world class enterprise products and have an in-depth understanding of whatever technology that you are working on, we will bring you up to speed on the technologies we use. Oh BTW, did we mention that you need to be super smart? Read on to know more about the role. RESPONSIBILITIES: Ability to architect and develop scalable, cloud native applications Facilitating and coordinating between the tasks assigned to various teams Ability to convert business requirements into technical requirements by planning, developing and refining Evaluate and choose the right technologies & tools to solve a given problem Hands on development is a must Ability to recruit and mentor a high caliber team REQUIREMENTS: Excellent communication (written and verbal) and ability to convey the message to the various members involved in the project Ability to constantly update and stay knowledgeable about the relevant industry practices Exposure to design data solutions Exposure to data engineering, data science & advanced analytics and data visualization Looks to solve problems with an optimistic approach and takes on challenges If the adrenaline inside you has been thumping while reading this, then write to us.
We are looking for a firebrand customer success manager + project manager. We are not looking for someone who can just handle customer facing issues but also anticipate and resolve them proactively. You can expect a flat hierarchy and a fast-paced environment. Oh, you also get the expert guidance from 3 founders who have built other companies and are experts in data science + Tech + Entrepreneurship. An ideal candidate? Yes, if... You empathise with clients and put them at ease You genuinely and actively listen to customers, understand their requirements and proactively work on solving bottlenecks You are able to quickly run a problem analysis and work backwards on customer requirements You have worked with multiple clients and have handled the good, bad and ugly situations You have had the experience of handling a team and setting expectations clearly If you have worked with a start-up or product based company then that's an added bonus! Responsibilities: Handle customer queries - Simple, exotic and all in between Uncover issues that cause customer dissatisfaction, anxiety or irritation Raise open issues with cross functional teams and take ownership of resolving the issues in a timely manner Set expectations and drive a process within the team Map customer journey and identify improvements at every stage Constantly work towards providing innovative strategies for delivering customer delight Proactively reach out to customers anticipating where they may have a need for support Experience: 4 to 6 years