UG :- - Not Required
PG :- - Not Required
No of position :- ( 1 )
Post :- 27th Jul 2022
The Data Scientist will apply his/her strong expertise in machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engine and services. The Data Scientist collaborates with translators to define technical problem statement and hypothesis to test; develops efficient and accurate analytical models that mimic business decisions.
Design, create, test and implement complex machine learning and deep learning models and algorithms that drive analytical solutions throughout the organization
Work with business managers to frame a problem, both mathematically and within the business context. Perform exploratory data analysis to gain insights about the problem
Experienced in proposing ROI based solutions to business driven by AI/ML; Be a storyteller to explain the why how of your data driven recommendations to cross-functional teams
Leverage variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks to achieve business outcomes
Leverage advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications to improve model recommendations
Conduct advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance leveraging TensorFlow
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
Identify and develop long-term data science processes, frameworks, tools, and standards
Comfortable working in programming languages like SQL, Python and R, as well as with frameworks like Azure ML Ops and Azure Machine Learning; experience designing solutions in distributed teams using Version Control tools like GIT
Curate and connect external data sets for broad enterprise-wide analytic usage
Develop company A/B testing framework and test model quality
Collaborate with internal stakeholders to understand business challenges and develop analytical solutions to optimize business processes monitor outcomes
Have passion to advocate and educate on the value and importance of data driven decision making analytical methods
Mentor and guide data science team members as well as developers and QA engineers working on the products.
5+ years of experience in software development of large-scale data infrastructure and distributed systems
5+ years of experience in data extraction, transformation, statistical analysis and data modeling
5+ years of experience developing enterprise software using Java or Python
3+ years of experience in applying Data Mining and Machine Learning techniques to solve business problems
3+ years of experience using major RDBMS, SAP, Hadoop, Spark, Elasticsearch, or similar technologies
3+ years of experience with statistical modeling tools such as R, SAS, SciKit -learn,
Bachelors degree in Computer Science, Computer Engineering, Machine Learning, or related field or equivalent experience.
Experience with Azure and/or GCP cloud platform
Experience in machine learning, statistics, optimization or related fields; deeper experience in working with large data sets, simulation/ optimization or distributed computing tools is a plus
Experience working with Open CV, Deep learning experience and time series analysis
Experience with Map/Reduce, SAP, Hadoop, Hive, Spark, etc.
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Experience visualizing/presenting data for stakeholders using: Tableau, PowerBI, Looker, Data Studio, Shiny, D3, ggplot,etc .
Professional Skill Requirements
Strong leadership and management skills
Strong communication and interpersonal skills
Strong analytical and problem-solving skills and passion for product development
Strong understanding of Agile methodologies and open to working in agile environments with multiple stakeholders
Professional attitude and service orientation; team player
Ability to translate business needs into potential analytics solution
Strong work ethic; ability to work at an abstract level and gain consensus
Ability to build a sense of trust rapport to create a comfortable effective workplace