About us: Quantiphi is a category defining Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Big Data & Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. Quantiphi helps clients find and capture hidden value from data through a unique blend of business acumen, big-data, machine learning and intuitive information design. AthenasOwl (AO) is our “AI for Media” solution that helps content creators and broadcasters to create and curate smarter content. We launched the product in 2017 as an AI-powered suite meant for the media and entertainment industry. Clients use AthenaOwl's context adapted technology for redesigning content, taking better targeting decisions, automating hours of post-production work and monetizing massive content libraries. Please Find Attached fact sheet for your reference. For more details visit: www.quantiphi.com ; www.athenasowl.tv Job Description: -Developing high-level solution architecture related to different use-cases in the media industry -Leveraging both structured and unstructured data from external sources and our proprietary AI/ML models to build solutions and workflows that can be used to give data driven insights. -Develop sophisticated yet easy to digest interpretations and communicate insights to clients that lead to quantifiable business impact. -Building deep relationship with clients by understanding their stated but more importantly, latent needs. -Working closely with the client-side delivery managers to ensure a seamless communication and delivery cadence. Essential Skills and Qualifications: -Hands-on experience with statistical tools and techniques in Python -Great analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis. -Advanced knowledge of supervised and unsupervised machine learning algorithms like Random Forest, Boosting, SVM, Neural Networks, Collaborative filtering etc. -Ability to think creatively and work well both as part of a team and as an individual contributor -Critical eye for the quality of data and strong desire to get it right -Strong communication skills. -Should be able to read a paper and quickly implement ideas from scratch. -A pleasantly forceful personality and charismatic communication style.
Responsibilities: Build real-time and batch analytics platform for analytics & machine-learning. Design, propose and develop solutions keeping the growing scale & business requirements in mind. As an integral part of the Data Engineering team, be involved in the entire development lifecycle from conceptualisation to architecture to coding to unit testing. Help us design the Data Model for our data warehouse and other data engineering solutions. Requirements: Deep understanding of real-time as well as batch processing big data solutions (Spark, Storm, Kafka, KSql, Flink, MapReduce, Yarn, Hive, HDFS, Pig etc). Extensive experience developing applications that work with NoSQL stores (e.g.,Elastic Search, HBase, Cassandra, MongoDB). Understands Data very well and has fair Data Modelling experience. Proven programming experience in Java or Scala. Experience in gathering and processing raw data at scale including writing scripts, web scraping, calling APIs, writing SQL queries, etc. Experience in cloud based data stores like Redshift and Big Query is an advantage. Previous experience in a high-growth tech startup would be an advantage.
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.
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.