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.

With a deep understanding of ML frameworks, ML pipelines and statistics you’ll leverage your programming, data wrangling, and analytical expertise to solve business problems, build data products and frameworks, track performance, automate testing, and more. Working closely with the rest of our Analytics team and partnering with our BI team, you’ll assist in creating the foundation for how we build data-driven applications, tools, and experiences for our internal business partners.

Having knowledge of R AI/ML is must

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

Mastery of application, data, and infrastructure architecture disciplines
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
Experience and desire to work in a Global delivery environment.

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face , MS team, Zoom video etc. Travel may be required as per the job requirements.

Seniority Level

Mid – Senior level

Industry

Information Technology & Services

Employment Type

Full-time

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Data Scientist Machine Learning