Sr. Data Engineer

at BitClass

 

 

What you need to have:

Introduction

The Biostrap platform extracts many metrics related to health, sleep, and activity.  Many algorithms are designed through research and often based on scientific literature, and in some cases they are augmented with or entirely designed using machine learning techniques.  Biostrap is seeking a Data Scientist to design, develop, and implement algorithms to improve existing metrics and measure new ones. 

Job Description

As a Data Scientist at Biostrap, you will take on projects to improve or develop algorithms to measure health metrics, including:

• Research: search literature for starting points of the algorithm
• Design: decide on the general idea of the algorithm, in particular whether to use machine learning, mathematical techniques, or something else.
• Implement: program the algorithm in Python, and help deploy it.  

The algorithms and their implementation will have to be accurate, efficient, and well-documented.

Requirements

• A Master’s degree in a computational field, with a strong mathematical background. 
• Strong knowledge of, and experience with, different machine learning techniques, including their theoretical background.  
• Strong experience with Python
• Experience with Keras/TensorFlow, and preferably also with RNNs
• Experience with AWS or similar services for data pipelining and machine learning.  
• Ability and drive to work independently on an open problem.
• Fluency in English.

Job description

Role Summary

We Are looking for an analytically inclined, Insights Driven Product Analyst to make our organisation more data driven. In this role you will be responsible for creating dashboards to drive insights for product and business teams. Be it Day to Day decisions as well as long term impact assessment, Measuring the Efficacy of different products or certain teams, You'll be Empowering each of them. The growing nature of the team will require you to be in touch with all of the teams at upgrad. Are you the "Go-To" person everyone looks at for getting Data, Then this role is for you.

 

Roles & Responsibilities

• Lead and own the analysis of highly complex data sources, identifying trends and patterns in data and provide insights/recommendations based on analysis results
• Build, maintain, own and communicate detailed reports to assist Marketing, Growth/Learning Experience and Other Business/Executive Teams
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
• Analyze data and generate insights in the form of user analysis, user segmentation, performance reports, etc.
• Facilitate review sessions with management, business users and other team members
• Design and create visualizations to present actionable insights related to data sets and business questions at hand
• Develop intelligent models around channel performance, user profiling, and personalization

Skills Required

• Having 4-6 yrs hands-on experience with Product related analytics and reporting
• Experience with building dashboards in Tableau or other data visualization tools such as D3
• Strong data, statistics, and analytical skills with a good grasp of SQL.
• Programming experience in Python is must
• Comfortable managing large data sets
• Good Excel/data management skills

What you will be doing:

As a part of the Global Credit Risk and Data Analytics team, this person will be responsible for carrying out analytical initiatives which will be as follows: -

• Dive into the data and identify patterns
• Development of end-to-end Credit models and credit policy for our existing credit products
• Leverage alternate data to develop best-in-class underwriting models
• Working on Big Data to develop risk analytical solutions
• Development of Fraud models and fraud rule engine
• Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented
• Working on cutting-edge techniques e.g. machine learning and deep learning models

Example of projects done in past:

• Lazypay Credit Risk model using CatBoost modelling technique ; end-to-end pipeline for feature engineering and model deployment in production using Python
• Fraud model development, deployment and rules for EMEA region

 

Basic Requirements:

• 1-3 years of work experience as a Data scientist (in Credit domain)
• 2016 or 2017 batch from a premium college (e.g B.Tech. from IITs, NITs, Economics from DSE/ISI etc)
• Strong problem solving and understand and execute complex analysis
• Experience in at least one of the languages - R/Python/SAS and SQL
• Experience in in Credit industry (Fintech/bank)
• Familiarity with the best practices of Data Science

 

Add-on Skills : 

• Experience in working with big data
• Solid coding practices
• Passion for building new tools/algorithms
• Experience in developing Machine Learning models

WyngCommerce is building state of the art AI software for the Global Consumer Brands & Retailers to enable best-in-class customer experiences. Our vision is to democratize machine learning algorithms for our customers and help them realize dramatic improvements in speed, cost and flexibility. Backed by a clutch of prominent angel investors & having some of the category leaders in the retail industry as clients, we are looking to hire for our data science team. The data science team at WyngCommerce is on a mission to challenge the norms and re-imagine how retail business should be run across the world. As a Junior Data Scientist in the team, you will be driving and owning the thought leadership and impact on one of our core data science problems. You will work collaboratively with the founders, clients and engineering team to formulate complex problems, run Exploratory Data Analysis and test hypotheses, implement ML-based solutions and fine tune them with more data. This is a high impact role with goals that directly impact our business. Your Role & Responsibilities: - Implement data-driven solutions based on advanced ML and optimization algorithms to address business problems - Research, experiment, and innovate ML/statistical approaches in various application areas of interest and contribute to IP - Partner with engineering teams to build scalable, efficient, automated ML-based pipelines (training/evaluation/monitoring) - Deploy, maintain, and debug ML/decision models in production environment - Analyze and assess data to ensure high data quality and correctness of downstream processes - Communicate results to stakeholders and present data/insights to participate in and drive decision making Desired Skills & Experiences: - Bachelors or Masters in a quantitative field from a top tier college - 1-2 years experience in a data science / analytics role in a technology / analytics company - Solid mathematical background (especially in linear algebra & probability theory) - Familiarity with theoretical aspects of common ML techniques (generalized linear models, ensembles, SVMs, clustering algos, graphical models, etc.), statistical tests/metrics, experiment design, and evaluation methodologies - Demonstrable track record of dealing with ambiguity, prioritizing needs, bias for iterative learning, and delivering results in a dynamic environment with minimal guidance - Hands-on experience in at least one of the following: (a) Anomaly Detection, (b) Time Series Analysis, (c) Product Clustering, (d) Demand Forecasting, (e) Intertemporal Optimization - Good programming skills (fluent in Java/Python/SQL) with experience of using common ML toolkits (e.g., sklearn, tensor flow, keras, nltk) to build models for real world problems - Computational thinking and familiarity with practical application requirements (e.g., latency, memory, processing time) - Excellent written and verbal communication skills for both technical and non-technical audiences - (Plus Point) Experience of applying ML / other techniques in the domain of supply chain - and particularly in retail - for inventory optimization, demand forecasting, assortment planning, and other such problems - (Nice to have) Research experience and publications in top ML/Data science conferences

Job Description: Data Science Analyst/ Data Science Senior Analyst Job description KSTYCH is seeking a Data Science Analyst to join our Data Science team. Individuals in this role are expected to be comfortable working as a software engineer and a quantitative researcher, should have a significant theoretical foundation in mathematical statistics. The ideal candidate will have a keen interest in the study of Pharma sector, network biology, text mining, machine learning, and a passion for identifying and answering questions that help us build the best consulting resource and continuous support to other teams. Responsibilities Work closely with a product scientific, medical, business development and commercial to identify and answer important healthcare/pharma/biology questions. Answer questions by using appropriate statistical techniques and tools on available data. Communicate findings to project managers and team managers. Drive the collection of new data and the refinement of existing data sources Analyze and interpret the results of an experiments Develop best practices for instrumentation and experimentation and communicate those to other teams Requirements B. Tech, M.Tech, M.S. or Ph.D. in a relevant technical field, or 1+ years experience in a relevant role Extensive experience solving analytical problems using quantitative approaches Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources A strong passion for empirical research and for answering hard questions with data A flexible analytic approach that allows for results at varying levels of precision Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner Fluency with at least one scripting language such as Python or PHP Familiarity with relational databases and SQL Experience working with large data sets, experience working with distributed computing tools a plus (KNIME, Map/Reduce, Hadoop, Hive, etc)

www.aaknet.co.in/careers/careers-at-aaknet.html You are extra-ordinary, a rock-star, hardly found a place to leverage or challenge your potential, did not spot a sky rocketing opportunity yet? Come play with us – face the challenges we can throw at you, chances are you might be humiliated (positively); do not take it that seriously though! Please be informed, we rate CHARACTER, attitude high if not more than your great skills, experience and sharpness etc. :) Best wishes & regards, Team Aak!