Posted today · be early

Lead Data Scientist

DemandMatrix

IndiaremotePosted today

Skill Required

Data-ScientistData-Science-LeadershipMachine-Learning-EngineeringApplied-Data-ScienceAnalytics-LeadershipSenior-Data-Scientist-LeadLead-Machine-Learning-ScientistData-Science-Team-LeadLead-AI-ML-ScientistSenior-Lead-AI-ScientistSenior-Staff-Data-ScientistData ScientistMachine LearningDeep LearningElasticsearchTensorFlowStatisticsData StructuresanalyticsMLflowbuildingXGBoostTestNGPythonPandasNumPyNeo4jCloudDesign PatternsjQueryNLPSQLAWSandGoFulltime

Key highlights

Experience: 5+ years
Benefit: Entire Work From Home
Benefit: Birthday Leave
Requirement: Python, TensorFlow, and SQL proficiency

Role overview

We are looking for a Lead Data Scientist to lead a technical team to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus is to work with the team to drive multiple initiatives for applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products in the domain of technographics and problems like buyer's journey, Technology Adoption Models (TAM).

Responsibilities

Run CRISP-DM projects with a team of 3 data scientists in the following -
Selecting features, building and optimizing classifiers (logistic regression or RF based propensity models) and recommenders using machine learning techniques
Data mining using state-of-the-art methods - Automate scoring using machine learning techniques, build recommendation systems, improve and extend the features used by recommendation and propensity modeling algos,
Extending company’s data with third party sources of information when needed
Enhancing data collection procedures to include information that is relevant for building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis and perform deep EDA (we create our own training data for our models)
Doing ad-hoc analysis and presenting results in a clear manner
Creating recommended and propensity models and tracking of its performance especially to compensate for concept drift

Requirements

Hands on machine learning techniques and algorithms, such as k-NN, Naive Bayes, Ensemble methods XGBoost, Decision Forests and working towards deep learning methods using TensorFlow especially for NLP like word embeddings and topic discovery
Hands with common data science toolkits, such as Python, scikit learn, numpy, pandas, plotly, TensorFlow, ElasticSearch, Auto-ML platforms like AWS Sagemaker
Solid proficiency in using query languages such as SQL, Experience with NoSQL databases, such as Elasticsearch and Graph DBs as Neo4j
Good understanding of applied statistics skills, such as distributions, statistical testing, regression and strong EDA skills
Data-oriented personality with strong sense of appreciating the business domain of your work
Interest in working in tech domain e.g. data center analytics, understanding of macro factors in market for computing, software and cloud adoptions
Experience of 5+ years

Benefits

Flexible Working hours
Entire Work From Home
Birthday Leave
Remote Work

Additional details

DemandMatrix Inc. is a data company that provides Go To Market, Operations and Data Science teams with high quality company level data and intelligence. DemandMatrix uses advanced data science methodologies to process millions of unstructured data points that produce reliable and accurate technology intelligence, organizational intent and B2B spend data.
Originally posted on Himalayas