Job Description :
Location: Sunnyvale, CA

Job Type: Fulltime

Implementation Partner: Innova Solutions

End Client: LinkedIn

Job Insight:

Linkedin''''''''s Business Application organization has built Business Intelligence (BI) and Intelligent Automation (IA) capability aimed at transforming many aspects of our business operations. As part of this new initiative, the team is serving as the core hub of knowledge on Intelligent Data, Analytics and Automation solutions, and is successfully executing and managing Intelligent transformations. We are looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. The Data Scientist is responsible for collecting, analyzing, cleansing, and imputing large amounts of structured data to provide powerful, actionable insights. Top candidates will have excellent customer service acumen, an entrepreneurial spirit, excellent problem-solving skills, strong project management skills, and strong design thinking capabilities in delivering Intelligent Data, Analytics and Automation solutions.


Design and build innovative data analytics solutions, from discovery to delivery, for Finance, Sales Commission and Global Work Space teams and Influence decision making.Assess opportunities within the following: Credit Risk, Collections, Cash Applications, Case Management, Sales Commissions, Global Work Space, and analyze current business performance and build statistical models to extrapolate current and historical trends into forward-looking forecasts.

Translate business problems to an analytics solution, recommending and applying the most appropriate models/methods to yield insights and results.

Responsible for the collection, cleansing and data wrangling and to process the data using most appropriately aligning ML model.

Responsible for breaking down business problems into statistical and machine learning problems. Monitor forecasts and benchmark performance internally and externally while understanding the sources of deviation.

Lead sessions and meetings to drive analytics roadmap, long-term strategy with quarterly milestones and outlook.

Engage with business teams to find opportunities, understand requirements, and translate those requirements into technical solutions with a design data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problem.

Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions.

Basic Qualifications:

Bachelor''''''''s degree in Data Science, Statistics or related field.

6+ years of industry experience in statistical data analysis (such as regression, distributions, clustering, classification, linear models, multivariate analysis, stochastic models, and sampling methods

6+ years of experience in data science life cycle including business understanding, data mining, data cleansing, data exploration, feature engineering, predictive modeling, and data visualization in Finance and Sales Commission.

6+ years of experience in descriptive analytics, business intelligence and reporting.

Experience designing and building statistical forecasting models.

6+ years of hands-on experience working with statistical packages (such as R, Python, MAT LAB, SPSS, SAS, stata, SQL

5+ years'''''''' experience with machine learning techniques and algorithms (such as k-means, k-NN, - Naive Bayes, SVM, Decision Forests, HMM, Neural nets, Deep learning

4+ years of experience in Finance, Sales Commission, Global Workplace business strategy.

Experience with Credit, Collection, Sales Commission and other Finance business processes.

Experience with relational databases, including SQL, and large-scale distributed systems such as Hadoop and Spark.

Experience with data structures, algorithms, object-oriented design and patterns.

Experience with quantitative and qualitative analysis, data mining, and the presentation of data.

2+ years of experience developing applications, software and web analytics e 2+ years of work experience providing analytical insights and business reports to product or business functions

2+ years of experience with Power Bl, Tableau, QIikView, Microstrategy or other data visualization and Bl dashboarding tools e 1+ years of experience programming in Java or Python and working with large datasets

Preferred Qualifications:

PhD in a quantitative discipline: statistics, applied mathematics, operations research, computer science, engineering, economics, etc.

Experience in Hadoop or other MapReduce paradigms and associated languages such as Pig, Sawzall, etc.

Experience presenting insights to senior management on a regular basis

Expertise in applied statistics and in at least one statistical software package, preferably R & Python

Proficiency in SQL and in a Unix/Linux environment for automating processes with shell scripting e Advanced skills in Java/C++ e Ability to communicate findings clearly to both technical and non-technical audiences

Ability to translate business objectives into actionable analyses