company-img2

Sciative Solutions , Python Analytics Developer

  • 1-4 yrs
  • Not Disclosed

Job Description

.video_container {margin:20px 0;}
.video_container iframe { width:100%; height:500px;}
@media all and (max,width:992px) {
.video_container iframe { width:100%; height:400px; display:block; margin: 0 auto; }
}
@media all and (max,width:600px) {
.video_container iframe { width:100%; height:250px; }
}





Job Responsibilities : , Lead a team of Python analytics and application developers, Be responsible for Analytics and Data Science App development using Python, Django and other compatible languages, Integrate Python application with other applications at client side (for example, booking engine, channel manager, property management system, etc.), Perform ad,hoc analysis to solve business needs relating to pricing, assortment, inventory, display, and personalization , Prepare project plans, identify milestones, and ensure that timelines and deliverables are being met or bettered (Travel may be required) , Carry out scenario planning, risk assessment and business (revenue) projections to provide a comprehensive assessment to clients , Identify data requirements and use Excel and,or statistical packages to build descriptive, explanatory, predictive and prescriptive models that deliver actionable insights , Prepare presentations, solution documents and data files as required , Prepare case studies and white papers to demonstrate how Sciative Solutions delivers superior value to clients businesses Desired candidate profile : , Winning attitude with an ability to deal with ambiguity, and quickly grasp new techniques, business problems and solution frameworks,technologies., Minimum 1 year experience using Python at work for analytics and,or web application is a must. Overall 1 to 4 years of work experience., Qualification: BE,B.Tech or ME,M.Tech in Engineering., Demonstrated hands,on experience of formulating a problem statement, preparing a project plan, and developing and delivering solutions., Business acumen, and proficiency in analysing and synthesizing data., Experience or application familiarity with statistical techniques such as linear and logistic regression, clustering, segmentation, time series, forecasting, SVM, neural nets, is highly preferred., High degree of proficiency in SQL and No,SQL Databases, and Excel + VBA.