Founded in 2012, Factspan analytics is a profitable company based in Bengaluru (Bangalore). It has 6-50 employees currently and works in the domain of IT Consultancy.
We are looking for data scientist with some coding skill
We invest in people and the ideas they bring to the table instead of spending fortunes marketing a half baked product. The spirit of innovation and constant urge to help the average online shopper save big has helped us become profitable in less than 6 months of operation. With over 6 Million Unique Monthly visitors, we are India’s #1 coupons and deals website. We're looking a Business Analyst who takes high degree of ownership and enjoys: Studying business functions, document and maintain system processes across different functions of the Business.; Gathering information; setup processes and, monitor progress by tracking project activity and publishing progress reports. Responsibilities Include: Defining configuration specifications and business analysis requirements Performing quality assurance Defining reporting and alerting requirements Perform quality assurance Define reporting and alerting requirements Communicate key insights and findings to product team Requirements: Previous experience in problem-solving and insight-driven decision making A degree in engineering (preferably IT/CS) and have worked on web product(s) Should be able to work independently Basic knowledge in generating process documentation Strong written and verbal communication skills including technical writing skills
Data Science@Dream11 Data Science at Dream11 comprises of enthusiastic young scientists thriving to derive value from data continuously. Data Science team focuses on product and user analytics by integrating data from multiple sources streaming at a rate of ~100 GB/day. The team has developed state-of-art solutions for developing automated contests, data driven risk prevention model, risk aversion, recommendation systems to enhance product and user experience. Your Role: You should be self-motivated to develop data science solutions, practices and lead data science team in Mumbai at Dream11. The role involves intense usage of machine learning, predictive modelling, data mining, behaviour psychology and sports analytics to help Dream11 be more fun, social and rewarding. • Responsibility for developing data science road map and initiatives at Dream11 • Giving a strategic perspective to our teams and providing business understanding to the organisation based on your data analysis • Developing data science solutions to enhance product ability and user experience • Applying rigorous experimentation and iterative analytics to steer the improvements of our products, while implementing machine learning and artificial intelligence • Creating algorithms to extract information from a large data set to perform statistical analysis and analyse the same to create predictive models for consumer behaviour • Establishing scalable, efficient, automated processes for model development, model validation and model implementation MUST have: • You need to eat, breathe and sleep data. For you, everything must be probability and distributions • Have a strong background in statistical concepts and machine learning models along with an expertise in data visualization and presentation • Have 5+ years of work experience in Data Sciences and Machine Learning. • Have 8+ years of work experience with large volumes of data preferably in e-commerce • Have a formal education in relevant fields such as stats, computer science or applied math Bonus: • Managed a team • Experience of working in an agile environment • Previous experience at a fast-growing consumer internet startup
Your Role You will use data science, behaviour psychology and sports analytics to help Dream11.com be more fun, social and rewarding. Join us if you believe that data science can revolutionise the world of sports. - Applying rigorous experimentation and iterative analytics to steer the improvements of our products, while implementing machine learning and artificial intelligence - Creating algorithms to extract information from a large data set to perform statistical analysis and analyse the same to create predictive models for consumer behaviour - Establishing scalable, efficient, automated processes for model development, model validation and model implementation - Giving a strategic perspective to our teams and providing business understanding to the organization based on your data analysis - Identifying emerging trends and opportunities for future growth MUST have: - Love sports and data. You need to eat, breathe and sleep data. For you, everything has to be measured and data-driven - Are an expert at data visualization and presentation - Have a strong background in statistical concepts and machine learning models - Have 4+ years of work experience with large volumes of data preferably in e-commerce - Have a formal education in relevant fields such as stats, computer science or applied math Bonus: - Experience of working in an agile environment - Previous experience at a fast growing consumer internet startup
Your Role: · Find insights that influence decisions (particularly new product/feature ideas). This work will span from early data explorations about user behavior, to multivariate experiments and optimizations · Lead the structure and analysis of A/B tests, help size opportunities to prioritize features · Work very closely with with other teams of Dream11 for requirement gathering and analysis · Analyze and provide recommendations to influence our product and company strategy · Provide user insights through data: cohorts analyses, user segmentation, long-term trends, and behavioural analyses MUST have: · Advanced problem solving skills · Expertise in deriving insights from large datasets across multiple sources and are fundamentally strong in data analytic and statistics · Understanding of key analytical techniques used in consumer web services including funnel analysis, conversion & drop-off rates, and cohort analysis · Experience in BI Tools like Tableau, Looker, PowerBI, Qlikview, Spotfire, etc. Bonus: · Have experience with statistical analysis languages, e.g., R, MATLAB · Die-hard Cricket and/or Football Fans
The role is for a large insurance engagement , the Individual would work with the client to identify , comprehend and solve using Statistical approaches using R studio. The role involves data analytics , Statistical Modelling . Tools involve R & SQL
• Good knowledge on Project Planning and Project Tracking at macro level Strong ability to manage and execute on multiple project timelines and priorities • Experience with Scrum methodology and Agile practices. Should have experience to JIRA • Strong leadership, project management skills, time management, and problem solving skills • Experience in customer handling and should have working in different project phases. • Experience in requirement gather and task mapping. • Experience in effort estimation, project reporting and status tracking. • Should have experience in project level budget control, budget and resource management. Internal project status reporting and customer project status reporting. • Experience in Business Intelligence (BI), Data warehouse (DW) • Clear understanding of Cube, OLAP, OLTP concepts • Hands-on experience of Schema design and data modeling • Should have clear understanding of DFD and ERD • Ability to translate complex data flows/transformations into sequences of ETL implementation tasks • Thorough Knowledge of ETL, data quality, data cleansing, and data blending tools • Familiarity with AWS Data Pipeline a plus • Proven ability to write and tune SQL queries, Understanding of columnar DBs like Redshift and Actian Vector, and conventional RDBMS like SQL Server, MS SQL, MySQL, etc. • Knowledge of one or more OLAP (e.g. Mondrian), reporting and visualization tools (e.g. Tableau, Spotfire, Jaspersoft, QlikView, Looker, DataWatch, Kibana, Apache Zeppelin etc) • Ability to understand domain and gain business knowledge quickly • If Python then, candidate must have used libraries like, Pandas, SciPy, NumPy, Twithon, TwiPy, Anaconda Distribution, etc. • Experience in one more structured DBMS: MySQL, SQL Server, Redshift, Postgres • Experience in one or more: Dynamo DB, Mongo DB, Cassandra • Experience of Ingestion, Processing and Visualization of “Big Data” – More than 500 GB, >1 TB is preferred • Hands-on with Hadoop components like AWS EMR or HDFS, Sqoop, Oozie, HBase, Hive, MapReduce, etc. It is not possible that candidate have all the skills at a time. But these are the basic skills around the Data Engineer position. The candidate should at least be theoretically proficient in all of the above. • Working knowledge on one or more: Kafka, Redis, Spark, Solr, ElasticSearch, Storm, Kinesis Strong analytical skills and good problem solving skills. • Experience in handling large teams, with good interpersonal skills • Self-motivated, team player, action-and-results oriented • Well organized, good communication and reporting skills • Ability to successfully work under tight project deadlines.
Looking for Java Developers with experience in Spring, Hibernate, Rest, SQL and Linux/Unix
• Identifying and modeling the key drivers of consumer behavior using internal and external data. • Developing prediction models to deliver key business outcomes. • Problems include working on demand forecasting, demand driven supply planning etc. • Developing optimized transportation network design for Shuttl operations to drive strategic growth • Developing algorithms to predict static and dynamic schedule of Shuttl arrival times. • Presenting clear and actionable recommendations to Products and Engineering leadership. • Relentless pursuit of achieving business goals using the power of data
1. Product: - Identify important questions with the product team and answer them with data - Create a culture of measurement and metrics across the company by developing key success metrics for the product - Work with company leaders to understand product roadmap and influence/improve it using quantitative research - Be our source of bitter truth against all product assumptions 2. Sales: - Work with sales team to automate internal dashboards which help company leaders make strategic decisions - Develop reports/research based on our data that help reduce sales time - Work with our product team to build and maintain integrations with other business systems