Understand client’s business needs, and design solutions to address the same
Evaluate different statistical, machine learning, and data science techniques to identify the ones that delivers maximum value to clients at a reasonable effort
Identify data requirements for solving business problems, and use appropriate packages and tools to build predictive and prescriptive model that deliver actionable insights
Lead client and project engagements and ensure that timelines and deliverables are being met or bettered (Travel may be required)
Develop and implement analytical / statistical methodologies, and learn and apply new statistical analysis and big data tools
Provide thought leadership and solutions, but not limited to: Fraud Detection, Yield Management, Customer Segmentation, Assortment Optimization, Affinity Modelling, Survival Analytics, Response Prediction, Personalization Recommendations, Channel Attribution, Marketing Mix Optimization
Prepare case studies and white papers, and deliver seminars and workshops to demonstrate the scientific leadership of Sciative Solutions and how it delivers value to clients businesses
Qualification and Experience:
Qualification: MS / PhD in Statistics, Economics, Mathematics, Computer Science, or related field
0 - 3 years of demonstrated hands-on experience (4+ years for Sr. Big Data Analyst) designing and applying ML/statistical techniques to solving complex business problems at scale
Demonstrated experience of formulating a problem statement and implementing analytical solutions by understanding available data and functional requirements
High proficiency in design of algorithms, design of experiments
Experience in Machine Learning, Statistics, Operations Research techniques
Proficiency in at least one of MlLib, R or Python’s data science stack
High Proficiency in relational databases, data management concepts and SQL scripting
Be part of a high performing team of analytics subject matter experts, business consultants and software developers, and collaboratively work on developing price optimization, prescriptive analytics and big data analytics solutions.
Lead all development activities related to our flagship price optimization engine.
Interface with clients and enhance price optimization product platform to meet specific business challenges
Facilitate solution efficiencies, scalability and technology leadership.
Follow an agile development process, and enable rapid solutioning to business challenges.
Take inputs from clients and constantly strive to improve solutions.
Qualification and Experience:
Passion for software development is a MUST
Qualification: BTech / BE / BS / MTech / ME / MS in Computer Science/Engineering, or related field
Min 5 years work experience
Strong in algorithm design, database programming, and text analytics
End to end knowledge of enterprise software design and development
Knowledge of NoSQL and Big Data technologies like Apache Spark, Hadoop stack, and Python data science stack is a plus, but not essential