• The Sr. 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.

Role & Responsibilities

• 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.

Basic Qualifications

• 12 + 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.

Technical Skills

• 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
• Coding knowledge and experience with several languages: Python, Go, Java, JavaScript, R, SQL etc.
• 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 .

• 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