Data Scientist Machine Learning

**Position: 2**:
Highly skilled, commercially focused and motivated Data Scientist looking for exciting projects that will challenge you to demonstrate expertise and leadership in building out our advanced models.

**Having knowledge of R AI/ML** is must

This role requires a wide variety of strengths and capabilities, including:

- Expertise with AWS/AZURE Cloud services and Solutions Engineering
- Experience with AI/ML platforms and technologies
- Command of architecture, design, and business processes
- Knowledge of industry-wide technology trends and best practices
- Keen understanding of financial control and budget management
- Expertise in working in in large, collaborative teams to achieve organizational goals
- Passionate about building an innovative culture

**Essential Duties and Tasks**:

- Execute the data vision strategy and goals ensuring those are consistent with the business requirements.
- As part of the Data Science team, help develop analytical capabilities, data products and tools to enable data query and deliver solutions to business requests
- Contribute and provide thought leadership to the business and key stakeholders.
- Develop new approaches to understand and solve complex business problems such as optimizing product performance and adoption.
- Generate actionable audience insights using advanced statistical techniques such as predictive statistical models, audience profiling, segmentation analysis and test design, exploratory analysis and data mining.
- Understand in depth, design and inform statistical testing for text mining
- Design user interfaces to overlay ML models, and enable business partners to access models, query results and scenarios.
- Build presentations and reports to communicate statistical modeling results
- Can manage ingestion and cleansing of large unstructured data and developing analytical capability to query the data and respond to user requests using a wide range of technologies including.- Productionalize codes and models via various tools and **technologies (such as R Connect and R Studio) to deliver scale, efficiency and speed.**
- ** **Profile, explore, connect and analyze extensive, often disjointed, and unstructured datasets including health care meta data, user level data

**Required Qualifications**:

- This position will be remote due to the COVID-19. This position may require travel to the US.
- Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- ** At least 10 years of** Information Technology experience.
- **5 + years as **Data Analyst/Scientist with R Language**:

- Must have an in-depth knowledge of advanced statistical techniques, machine learning, feature engineering, and model evaluation techniques including regressions, cluster analysis test design, variable reduction, non-parametric tests and forecasting methodologies.
- Experience with A/B testing and test designs
- Experience with big data, standardizing and appending variables across disparate data sets
- Experience analyzing user level data (PII and anonymized), DMP data, social data and viewing / transactional or streaming data.
- 5 + years’ experience developing production ML models to solve problems such as text mining, path modelling, look-a-like modelling and performance optimization
- **BA/BS degree required with technical focus (e.g. mathematics, computer science, physics, statistics)**
- MS or PhD degree preferred (but not essential)
- Ability to work with data and platform engineers to implement ML pipelines.
- ** Experience with R and SQL**:

- Business experience in health care industry preferred, but not required.
- Results oriented, excel in organizational skills, have strong attention to details and be able to effectively manage multiple projects/assignments simultaneously.
- Curious about data and problem solving intrinsic ability to look at data and identify patterns, problems, or analysis opportunities
- Strong communication skills and the ability to explain complex analyses to both technical and non-technical audiences.
- Effective data visualization skills with analytical tools such as Tableau, Shiny. powerBI
- Collaborative - a team player who can thrive as an individual but also enjoy
- providing mentorship, learning, and being collaborative in cross-functional teams

**Preferred Qualifications**:

- Strong expertise in designing Interfaces and Data Migration using Webservices or equivalent technologies.
- Experience in enforcing best practices.
- Has performed the lead role for all technical deliverables and provide status update to the project stake holders.
- SQL **MACHINE LEARNING SERVICES**
- **knowledge of Microsoft Dynamics D365 CE**
- **Microsoft SQL Server Certification**:

- **Experience with R and SQL**:

- **Knowledge of Microsoft Dynamics NAV**:

- **Knowledge of MS Dynamics CRM**
- **Health care industry*