Barista / Cafe Associate

What You’ll Do:

As a Sr. Data Scientist, you will work closely across DeepIntent Data Science teams located in New York, India, and Bosnia. The role will focus on building predictive models, implementing data-driven solutions to maximize ad effectiveness. You will also lead efforts in generating analyses and insights related to the measurement of campaign outcomes, Rx, patient journey, and supporting the evolution of the DeepIntent product suite. Activities in this position include developing and deploying models in production, 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 create better predictive models.
• Analyze medical claims, clinical, demographic and clickstream data to produce and present actionable insights.
• Explore ways of using inference, statistical, and 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 Data Science.
• 5+ years of working experience as a Data Scientist or Researcher in digital marketing, consumer advertisement, telecom, or other areas requiring customer-level predictive analytics.
• Advanced proficiency in performing statistical analysis in Python, including relevant libraries, is required.
• Experience working with data processing, transformation and building model pipelines using tools such as Spark, Airflow, and Docker.
• You have an 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).
• You have varied and hands-on predictive machine learning experience (deep learning, boosting algorithms, inference…).
• You are interested in translating complex quantitative results into meaningful findings and interpretable deliverables, and communicating with less technical audiences orally and in writing.
• You can write production level code, work with Git repositories.
• Active Kaggle participant.
• Working experience with SQL.
• Familiar with medical and healthcare data (medical claims, Rx, preferred).
• Conversant with cloud technologies such as AWS or Google Cloud.

Responsibilities will include:

• Define the brand’s marketing strategy, deliver against app brand objectives
• Drive the development and execution of integrated marketing campaigns at national/regional levels
• Develop, manage, and analyzes branding campaigns across marketing channels - offline and online
• Coordinate with agency and internal design team to execute the campaign
• Analyze campaigns and provide strategic recommendations

Attributes we value:

• Strong analytical foundation with meticulous attention to detail
• Strong verbal and written communication skills
• Strong intellectual curiosity
• Extremely organized and detail-oriented
• Proficiency in Excel

Requirements:

• Graduation/Post-Graduation from a tier-1 institute
• Demonstrative experience in executing brand campaigns
• Work-ex: 4 - 8 years

Job description

Copperchips is hiring full-stack spring boot developers with hands-on experience in the underneath

• Spring Boot
• AngularJs 
• Spring Data jpa
• Hibernate
• SQL
• Postgres
• Rest API

Additionally, knowledge on the underneath technologies will be a plus

• Experience in Angular.Js is a big plus
• Cloud Environments preferably AWS. GCP / Azure would also work
• Knowledge of GIT/Bitbucket, and other version management tools is a must
• Queueing frameworks, Webhooks and Event Driven Development
• CI/CD implementation using Jenkins / bamboo
• You will be responsible for
• Designing/architecting application features/modules
• Develop, build, test, and deploy software product features by adopting industry best practices
• Preparing technical documentation. Translating BRDs into FRD's. Decomposing requirements into logical work breakdown structure
• Pro-actively propose solutions and strategies to business challenges

Skills for Success

• A quick learner with good written and oral communication skills
• Should be able to take new initiatives and ownership of tasks
• Must have the ability to work independently with little to no supervision
• Must be flexible to work in a multi-shift environment
• Candidate should be willing to travel onsite for short/long-term assignments

Senior Data Engineer

Responsibilities:

●      Clean, prepare and optimize data at scale for ingestion and consumption by machine learning models

●      Drive the implementation of new data management projects and re-structure of the current data architecture

●      Implement complex automated workflows and routines using workflow scheduling tools 

●      Build continuous integration, test-driven development and production deployment frameworks

●      Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards 

●      Anticipate, identify and solve issues concerning data management to improve data quality

●      Design and build reusable components, frameworks and libraries at scale to support machine learning products 

●      Design and implement product features in collaboration with business and Technology stakeholders 

●      Analyze and profile data for the purpose of designing scalable solutions 

●      Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues

●      Mentor and develop other data engineers in adopting best practices 

●      Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders

Qualifications:

●      8+ years of experience developing scalable Big Data applications or solutions on distributed platforms

●      Experience in Google Cloud Platform (GCP) and good to have other cloud platform tools

●      Experience working with Data warehousing tools, including DynamoDB, SQL, and Snowflake

●      Experience architecting data products in Streaming, Serverless and Microservices Architecture and platform.

●      Experience with Spark (Scala/Python/Java) and Kafka

●      Work experience with using Databricks (Data Engineering and Delta Lake components) 

●      Experience working with Big Data platforms, including Dataproc, Data Bricks etc

●      Experience working with distributed technology tools including Spark, Presto, Databricks, Airflow

●      Working knowledge of Data warehousing, Data modeling

●      Experience working in Agile and Scrum development process

●      Bachelor's degree in Computer Science, Information Systems, Business, or other relevant subject area

Role:

Senior Data Engineer

Total No. of Years:

8+ years of relevant experience 

To be onboarded by:

Immediate

Notice Period:

Skills

Mandatory / Desirable

Min years (Project Exp)

Max years (Project Exp)

GCP Exposure 

Mandatory Min 3 to 7

BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep .Spark and PySpark

Mandatory Min 5 to 9

Relational SQL

Mandatory Min 4 to 8

Shell scripting language 

Mandatory Min 4 to 8

Python /scala language 

Mandatory Min 4 to 8

Airflow/Kubeflow workflow scheduling tool 

Mandatory Min 3 to 7

Kubernetes

Desirable 1 to 6

Scala

Mandatory Min 2 to 6

Databricks

Desirable Min 1 to 6

Google Cloud Functions

Mandatory Min 2 to 6

GitHub source control tool 

Mandatory Min 4 to 8

Machine Learning

Desirable 1 to 6

Deep Learning

Desirable Min 1to 6

Data structures and algorithms

Mandatory Min 4 to 8

• Designing emailers, social media (LinkedIn, Facebook, Instagram) posts
• Creating blog headers and blog images
• Working with content creator and content writer to plan and deliver the weekly tasks
• Coming up with creative ways to showcase the message given by content writers and creators
• High-quality and attention-grabbing images that grab the users’ attention and improving the brand’s credibility
• Visually compelling infographics that present valuable information about the company in a compelling way
• Quoting graphics that reflect the vision and message of the brand, enabling followers to relate and build a relationship with the business
• Being the single point of contact for all the graphic design needs in the product

Desired Candidate Profile

• Minimum 1-2 years of experience in graphic designing using various tools
• Hands on experience in Adobe Illustrator, Photoshop
• Hands on experience in various tools (After effects, Premiere pro)
• Ability to work methodically and meet deadlines
• Portfolio of illustrations or other graphics
• Excellent communication skills
• Ability to design and develop graphics and various graphical content to connect with the audiences that are most relevant to us, in a way that’s relevant for them and ensuring the communication is specific and meaningful
• Abilities to balance the WOW (be noticed), HOW (engage and educate) and NOW (drive action) of content marketing
• An undistracted mind, an aspiration for holistic growth, humility, discipline, clear and adequate communication and self confidence to learn and do anything    

•  We are looking for a Data Engineer with 3-5 years experience in Python, SQL, AWS (EC2, S3, Elastic Beanstalk, API Gateway), and Java.
• The applicant must be able to perform Data Mapping (data type conversion, schema harmonization) using Python, SQL, and Java.
• The applicant must be familiar with and have programmed ETL interfaces (OAUTH, REST API, ODBC) using the same languages.
• The company is looking for someone who shows an eagerness to learn and who asks concise questions when communicating with teammates.