We are changing the way enterprises manage and consume data and insights by making data and insights platform smarter and better. As part of Cynepia Technologies, Customer Facing Data Scientists are critical to making our customers successful.- An ideal candidate should have strong fundamentals of applied data science in a business setting and should enjoy communicating and evangelizing data science solutions to business stakeholders. He must possess an understanding of the following :A) Product/Customer/People Skills :1. Someone who has been working for a fast-paced started environment in the capacity as an individual contributor and is focused on understanding customer problems/requirements and solving the same using Cynepia Products/Solutions that address the same.2. Executing data engineering/science workflows for customers3. Conducting and managing data science projects with customer's vision of success in mind.4. Engaging and collaborating with various customer teams and managing experience.5. Great oral and written communication and hunger to create and build is not negotiable.6. Strong customer interaction, management and organizational skills.B) Technical Skills :1. Experience with dataset preparation using python/R.2. Experience building and optimizing data pipelines, architectures and data sets.3. Hands-on experience building predictive models and preparing data for the same.4. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.Understand and write code that adheres to and ensures serviceability, performance, reliability, availability and scalability of the architecture in a large enterprise5. Prior Experience working with the adoption of enterprise data products/usecases in a fast-paced startup environment desired.6. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
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
What will you do: • Develop ML based models for financial portfolios and Investment advisory • Designing, implementing and backtesting investment strategies • Analyze investment behavior for portfolio managers to prevent frauds and malpractices • Coordinate with engineering team to incorporate models in the platform. What are we looking for: • Bachelors or Masters or PhD in Maths, Statistics, Computers • 2 to 4 years of experience • Exposure to Financial markets • Familiarity with Python/R/SciKit/Tensorflow • Familiar with SQL and page scrapping & other data manipulation tools and packages. Who is this role for: • Are you looking for a great technical challenge to solve and looking to build a new product ground up? • Do you want to work closely with leading technology solutions in world of finance and on cutting edge technologies like Algo-trading, Blockchain, etc? • Do you want to build software that will be used by millions of people all around the World and plays in 4 exciting technology domains – Social, Mobile, Analytics and Cloud (SMAC)? • Do you want to work with a team with a proven track record in both Finance domain and in Technology/Product? • Beyond this, do you have the drive to go through the cycle that is natural to any startup and finally, make it big? If you are looking for all of these, then Kristal is the place for you!!! Perks: • Apple MacBook • Working with a team of passionate people just like you who love to build products For further information visit us at www.kristal.ai