Currently accepting applicatns
Rishabh Software

Data Science Lead

Mid-Level (4 to 6 years)
Vadodara
Rs.500000 INR - Rs.1800000 INR (PA)
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Key Responsibilities

Ability to interpret and map business, functional and non functional requirements to products/solutions or working prototypes of ML algorithms.

Interact with diverse stakeholders like clients, project manager/scrum master, business analysts, testing and other cross functional teams as part of application development

Establish scalable, efficient, automated processes for model development, model validation, model implementation and large scale data analysis

Assess the impacts on the technical design because of the changes in functional requirements

Articulate problem definition and work on all aspects of data including acquisition, exploration, visualization, feature engineering, experimentation with machine learning algorithms and deploying models \

Develop working prototypes of algorithms, evaluate and compare metrics based on the real-world data sets

Mine massive amounts of data from various sources to gain insights and identify patterns using machine learning techniques and complex network analysis methods.

Extending ML prototypes into fully functional, polished solutions ready for internal and/or external use

Support architect/data scientist in developing artifacts such as high level design, technical design, etc.

Help project manager/lead/pre sales with precise estimates, inform of risks and dependencies, recommend technologies to implement solution proposal related to Predictive Analytics / Machine learning based RFI/RFP

Perform independent code reviews and guide junior team members for correction Actively mentor and coach the team to provide solutions at scale for real world challenges in various scenarios

Conduct research and ready to upskill based on technology trends and business needs Technical Skills Mandatory (Minimum 3 years of working experience)

Worked on at least 3 full life cycle projects in data science in delivery role as lead Extensive experience in NLP/ NLG, Sentiment Analysis, Computer Vision, etc.

Have a sound foundational base in linear algebra, probability, statistics, multivariate calculus, distributions like Poisson, normal, binomial, etc.

Good Knowledge in Apache Spark, Apache Spark ML

Strong experience with deep learning frameworks such as TensorFlow, Keras, Caffe/ MXNet / Theano etc.

Extensive experience with statistical packages such as scikit-learn, spaCy, NumPy, etc.

Profound experience in successfully making use of the following for ML solutions: Logistic Regression, Multivariate Regression, Support Vector Machines, Stochastic Processes, Decision Trees, Lifetime analysis, common clustering algorithms, Optimization, CNN, time series (AR, MA, ARMA, VAR, VARMA, etc.)


Good knowledge of neural networks(Feedforward Neural Network, Recurrent Neural Network, Convolutional Neural Network, Modular Neural Network, Radial basis function Neural Network)

Proficient in python and Java/R

Expertise in distilling and presenting complex concepts to a business audience Deep knowledge of data modelling and understanding of different data structures, algorithms

Expertise in designing, developing, and implementing secure, scalable end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation) Comfortable in working and managing Linux environments

Great problem solving skills along with a strong inclination for quality and excellence Good To Have (1+ years of working experience)

Knowledge of CI / CD and Cloud Native Computing (Docker, Kubernetes, Consul, Vault) and MLOps

Knowledge of Azure Machine Learning/Amazon Machine Learning/IBM Watson/Google Cloud ML Soft Skills

Good verbal and written communication skills

Ability to collaborate and work effectively in a team.

Excellent analytical and logical skills

Positive attitude Education

Preferred: Graduate or Post Graduate with specialization related to Computer Science or Information Technology or MS in Mathematics Or PhD in Quantitative Marketing, Computational Science or Applied Engineering

Relevant Experience 6+ years

Currently accepting applicatns
Rishabh Software

Data Science Lead

Mid-Level (4 to 6 years)
Vadodara
Rs.500000 INR - Rs.1800000 INR (PA)
Visit Website
Share via   

Key Responsibilities

Ability to interpret and map business, functional and non functional requirements to products/solutions or working prototypes of ML algorithms.

Interact with diverse stakeholders like clients, project manager/scrum master, business analysts, testing and other cross functional teams as part of application development

Establish scalable, efficient, automated processes for model development, model validation, model implementation and large scale data analysis

Assess the impacts on the technical design because of the changes in functional requirements

Articulate problem definition and work on all aspects of data including acquisition, exploration, visualization, feature engineering, experimentation with machine learning algorithms and deploying models \

Develop working prototypes of algorithms, evaluate and compare metrics based on the real-world data sets

Mine massive amounts of data from various sources to gain insights and identify patterns using machine learning techniques and complex network analysis methods.

Extending ML prototypes into fully functional, polished solutions ready for internal and/or external use

Support architect/data scientist in developing artifacts such as high level design, technical design, etc.

Help project manager/lead/pre sales with precise estimates, inform of risks and dependencies, recommend technologies to implement solution proposal related to Predictive Analytics / Machine learning based RFI/RFP

Perform independent code reviews and guide junior team members for correction Actively mentor and coach the team to provide solutions at scale for real world challenges in various scenarios

Conduct research and ready to upskill based on technology trends and business needs Technical Skills Mandatory (Minimum 3 years of working experience)

Worked on at least 3 full life cycle projects in data science in delivery role as lead Extensive experience in NLP/ NLG, Sentiment Analysis, Computer Vision, etc.

Have a sound foundational base in linear algebra, probability, statistics, multivariate calculus, distributions like Poisson, normal, binomial, etc.

Good Knowledge in Apache Spark, Apache Spark ML

Strong experience with deep learning frameworks such as TensorFlow, Keras, Caffe/ MXNet / Theano etc.

Extensive experience with statistical packages such as scikit-learn, spaCy, NumPy, etc.

Profound experience in successfully making use of the following for ML solutions: Logistic Regression, Multivariate Regression, Support Vector Machines, Stochastic Processes, Decision Trees, Lifetime analysis, common clustering algorithms, Optimization, CNN, time series (AR, MA, ARMA, VAR, VARMA, etc.)


Good knowledge of neural networks(Feedforward Neural Network, Recurrent Neural Network, Convolutional Neural Network, Modular Neural Network, Radial basis function Neural Network)

Proficient in python and Java/R

Expertise in distilling and presenting complex concepts to a business audience Deep knowledge of data modelling and understanding of different data structures, algorithms

Expertise in designing, developing, and implementing secure, scalable end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation) Comfortable in working and managing Linux environments

Great problem solving skills along with a strong inclination for quality and excellence Good To Have (1+ years of working experience)

Knowledge of CI / CD and Cloud Native Computing (Docker, Kubernetes, Consul, Vault) and MLOps

Knowledge of Azure Machine Learning/Amazon Machine Learning/IBM Watson/Google Cloud ML Soft Skills

Good verbal and written communication skills

Ability to collaborate and work effectively in a team.

Excellent analytical and logical skills

Positive attitude Education

Preferred: Graduate or Post Graduate with specialization related to Computer Science or Information Technology or MS in Mathematics Or PhD in Quantitative Marketing, Computational Science or Applied Engineering

Relevant Experience 6+ years



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