Company Overview Akridata is a US based early stage startup working in the area of providing data processing and data management solutions for certain edge to data center pipelines related to AI workloads catering to use cases generating data in the order of 100TB per day. We are a VC funded startup incorporated in May 2018 with all SW engineering done from the Bangalore center thus providing ample opportunities for ‘from-scratch’ design and development. Role We are in the process of setting up a “data science and algorithms” team and this role is for a lead engineer who will form the team and lead all development activities for this team. This team will develop high performance algorithms around the areas of data summarization and importance scoring on data. If you are excited with the idea of developing a data-science toolkit Vs using an existing toolkit, then this role would be an ideal match. What we are looking for Master’s degree with a background in statistics and computer science. Good foundation on theory around advanced linear algebra. Hands-on programming experience with Python in area of data science 4+ years of experience working with data science activities involving building models for analysing large amounts of data. Experience with publishing academic papers and/or implementing prototypes based on ongoing research ideas. Good to have Experience with developing high performance algorithms considering various system aspects like memory consumption, CPU utilization, synchronization overheads, communication overheads etc. Understanding of GPU architecture and experience implementing algorithms on GPUs. Experience leading a team of 2-3 data science engineers.
Lead Data Scientist in a Fantasy sports company You will be working for India's fastest growing fantasy sports app, to analyze and enhance user behavior, pre-empt and prevent user drop offs, and provide strategic guidance on user behavior to Product and Retention teams. Responsibilities: 1. Analyze millions of transactions to find patterns in user spends, segment them and improve conversions 2. Design experiments in consultation with Product team, test hypotheses, build models, drive control groups and scale 3. Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance for re-engagement activities 4. Work with various stakeholders to identify their processes, and provide feedback to analyze their efficacy 5. Provide data based recommendations for new app features and modifications of existing flows and paradigms 6. Designing and developing new ML, analytical or AI algorithms for increasing 7. Lead the ownership of data and insights, and take a lead in formulating strategic initiatives Qualifications: 1. 3-5 experience working in Data Science department of a B2C company or an Analytics firm or an Analytics Consulting firm 2. Understanding of statistical modeling (Regression, Clustering, Decision trees), machine learning, algorithms, data mining concepts, and a track record of solving problems with these methods 3. Experience with Deep Learning, SVM, k-nearest neighbors, Random Forests, Ensemble Methods, Logistic Regression, Probability Theory, Bayesian/Markov networks etc. 4. Demonstrated programming skills in relevant languages, including R, Python, SQL 5. Demonstrated analytical ability, knack in figuring out patterns in raw data and good problem-solving skills 6. Great people skills, ability to work across teams, get stakeholders on board in implementing changes 7. Strong interest in Mathematics, Probability Theory, Statistics, Machine Learning and ability to apply math in real world applications
Data Scientist : Pluto7 is a services and solutions company focused on building ML, Ai, Analytics, and IoT tailored solutions to accelerate business transformation.We are a Premier Google Cloud Partner, servicing Retail, Manufacturing, Healthcare, and Hi-Tech industries. We are a Google premium partner in AI & ML, which means you'll have the opportunity to work and collaborate with folks from Google. Are you an innovator, have a passion to work with data and find insights, have the inquisitive mind with the constant yearning to learn new ideas; then we are looking for you.As a Pluto7 Data Scientist engineer, you will be one of the key members of our innovative artificial intelligence and machine learning team. You are expected to be unfazed with large volumes of data, love to apply various models, use technology to process and filter data for analysis. Responsibilities: Build and Optimize Machine Learning models. Work with large/complex datasets to solve difficult and non-routine analysis problems, applying advanced analytical methods as needed. Build and prototype data pipelines for analysis at scale. Work cross-functionally with Business Analysts and Data Engineers to help develop cutting edge and innovative artificial intelligence and machine learning models. Make recommendations for selections on machine learning models. Drive accuracy levels to the next stage of the given ML models. Experience in developing visualisation and User Good exposure in exploratory data analysis Strong experience in Statistics and ML algorithms. Minimum qualifications: 2+ years of relevant work experience in ML and advanced data analytics(e.g., as a Machine Learning Specialist / Data scientist ). Strong Experience using machine learning and artificial intelligence frameworks such as Tensorflow, sci-kit learn, Keras using python. Good in Python/R/SAS programming. Understanding of Cloud platforms like GCP, AWS, or other. Preferred qualifications: Work experience in building data pipelines to ingest, cleanse and transform data. Applied experience with machine learning on large datasets and experience translating analysis results into business recommendations. Demonstrated skills in selecting the right statistical tools given a data analysis problem. Demonstrated effective written and verbal communication skills. Demonstrated willingness to both teach others and learn new techniques Work location : Bangalore