DeepIntent

What You’ll Do:

As a Data Scientist, you will work closely across DeepIntent Analytics teams located in New York City, India, and Bosnia. The role will support internal and external business partners in defining patient and provider audiences, and generating analyses and insights related to measurement of campaign outcomes, Rx, patient journey, and supporting evolution of DeepIntent product suite. Activities in this position include creating and scoring audiences, reading campaign results, analyzing medical claims, clinical, demographic and clickstream data, performing analysis and creating actionable insights, summarizing, and presenting results and recommended actions to internal stakeholders and external clients, as needed.

• Explore ways to to create better audiences 
• Analyze medical claims, clinical, demographic and clickstream data to produce and present actionable insights 
• Explore ways of using inference, statistical, machine learning techniques to improve the performance of existing algorithms and decision heuristics
• Design and deploy new iterations of production-level code
• Contribute posts to our upcoming technical blog  

Who You Are:

• Bachelor’s degree in a STEM field, such as Statistics, Mathematics, Engineering, Biostatistics, Econometrics, Economics, Finance, OR, or Data Science. Graduate degree is strongly preferred 
• 3+ years of working experience as Data Analyst, Data Engineer, Data Scientist in digital marketing, consumer advertisement, telecom, or other areas requiring customer level predictive analytics
• Background in either data engineering or analytics
• Hands on technical experience is required, proficiency in performing statistical analysis in Python, including relevant libraries, required
• You have an advanced understanding of the ad-tech ecosystem, digital marketing and advertising data and campaigns or familiarity with the US healthcare patient and provider systems (e.g. medical claims, medications)
• Experience in programmatic, DSP related, marketing predictive analytics, audience segmentation or audience behaviour analysis or medical / healthcare experience
• You have varied and hands-on predictive machine learning experience (deep learning, boosting algorithms, inference) 
• Familiarity with data science tools such as, Xgboost, pytorch, Jupyter and strong LLM user experience (developer/API experience is a plus)
• You are interested in translating complex quantitative results into meaningful findings and interpretable deliverables, and communicating with less technical audiences orally and in writing

What you'll do:

• Mandatory - Experience & hands-on experience in setting up, optimizing, and securing analytical distributed data sources such as ClickHouse, Druid, or similar distributed database systems. Intermidiate DBA skills required.
• Deploy, configure, and maintain Kubernetes clusters for our microservices architecture.
• Utilize Git and Helm for version control and deployment management.
• Implement and manage monitoring solutions using Prometheus and Grafana.
• Work on continuous integration and continuous deployment (CI/CD) pipelines.
• Containerize applications using Docker and manage orchestration.
• Manage and optimize AWS services, including but not limited to EC2, S3, RDS, and AWS CDN.
• Maintain and optimize MySQL databases, Airflow, and Redis instances.
• Write automation scripts in Bash or Python for system administration tasks.
• Perform Linux administration tasks and troubleshoot system issues.
• Utilize Ansible and Terraform for configuration management and infrastructure as code.
• Demonstrate knowledge of networking and load-balancing principles.
• Collaborate with development teams to ensure applications meet reliability and performance standards.

Additional Skills (Good to Know):

• Familiarity with ClickHouse and Druid for data storage and analytics.
• Experience with Jenkins for continuous integration.
• Basic understanding of Google Cloud Platform (GCP) and data center operations.

Who you are:

• Minimum 3 years of experience in a Site Reliability Engineer role or similar.
• Proven experience with Kubernetes, Git, Helm, Prometheus, Grafana, CI/CD, Docker, and microservices architecture.
• Strong knowledge of AWS services, MySQL, Airflow, Redis, AWS CDN.
• Proficient in scripting languages such as Bash or Python.
• Hands-on experience with Linux administration.
• Familiarity with Ansible and Terraform for infrastructure management.
• Understanding of networking principles and load balancing.
• Bachelor's degree in Computer Science, Information Technology, or a related field.

What You’ll Do:

We are looking for a talented candidate with several years of experience in software Quality Assurance to join our QA team. This position will be at an individual contributor level as part of a collaborative, fast-paced team. As a member of the QA team, you will work closely with Product Managers and Developers to understand application features and create robust comprehensive test plans, write test cases, and work closely with the developers to make the applications more testable. We are looking for a well-rounded candidate with solid analytical skills, an enthusiasm for taking ownership of features, a strong commitment to quality, and the ability to work closely and communicate effectively with development and other teams. Experience with the following is preferred:

• Python
• Perl
• Shell Scripting
• Selenium
• Test Automation (QA)
• Software Testing (QA)
• Software Development (MUST HAVE)
• SDET (MUST HAVE)
• MySQL
• CI/CD

Who You Are:

• Hands on Experience with QA Automation Framework development & Design (Preferred language Python)
• Strong understanding of testing methodologies
• Scripting
• Strong problem analysis and troubleshooting skills
• Experience in databases, preferably MySQL
• Debugging skills
• REST/API testing experience is a plus
• Integrate end-to-end tests with CI/CD pipelines and monitor and improve metrics around test coverage
• Ability to work in a dynamic and agile development environment and be adaptable to changing requirements
• Performance testing experience with relevant automation and monitoring tools
• Exposure to Dockerization or Virtualization is a plus
• Experience working in the Linux/Unix environment
• Basic understanding of OS

What You’ll Do:

* Establish formal data practice for the organisation.

* Build & operate scalable and robust data architectures.

* Create pipelines for the self-service introduction and usage of new data.

* Implement DataOps practices

* Design, Develop, and operate Data Pipelines which support Data scientists and machine learning Engineers.

* Build simple, highly reliable Data storage, ingestion, and transformation solutions which are easy to deploy and manage.

* Collaborate with various business stakeholders, software engineers, machine learning engineers, and analysts.

Who You Are:

* Experience in designing, developing and operating configurable Data pipelines serving high volume and velocity data.

* Experience working with public clouds like GCP/AWS.

* Good understanding of software engineering, DataOps, data architecture, Agile and DevOps methodologies.

* Experience building Data architectures that optimize performance and cost, whether the components are prepackaged or homegrown.

* Proficient with SQL, Java, Spring boot, Python or JVM-based language, Bash.

* Experience with any of Apache open source projects such as Spark, Druid, Beam, Airflow etc. and big data databases like BigQuery, Clickhouse, etc

* Good communication skills with the ability to collaborate with both technical and non-technical people.

* Ability to Think Big, take bets and innovate, Dive Deep, Bias for Action, Hire and Develop the Best, Learn and be Curious