Andela | Data Scientist | india

3 weeks ago

india Andela Full time

Senior Data Scientist / ML Engineer

Andela

Location Requirement: India

About Andela

Andela exists to connect brilliance and opportunity. Since 2014, we have been dedicated to breaking down global barriers and accelerating the future of work for both technologists and organizations around the world. For technologists, Andela offers competitive long-term career opportunities with leading organizations, access to a global community of professionals, and educational opportunities with leading technology providers.

At Andela, we’re deeply passionate about creating long-lasting and transformative growth opportunities for all - and doing it in an E.P.I.C. way We’re excited to continue building our remote-first team with incredible people like you. After applying for this role, you will join our Andela Community of brilliant technologists by passing a technical screening and live interview. As a community member, you’ll have access to many exclusive technologist roles. Join Andela today to access this opportunity and more in our global marketplace

Our roles are typically filled at lightning speed, so if you’re considering applying, get your application in quickly

Andela´s Benefits:

-- 100% payment in USD.

This is a fully remote opportunity for one of our esteemed clients.

About the role

As a Data Scientist, you will help transform our client’s data, consumer data, and advertising data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best-in-Class open source and visual tools, along with the most flexible and scalable deployment options.

The Data Scientist will support Data Science and BI efforts for the consumer business. The main responsibility lies in analyzing consumer data from devices, app stores, analytics systems, data lakes, and the database to provide quality data for quality AI and BI solutions. A good candidate is someone who is proficient in Python/PySpark, able to analyze data through visualization/tables/pivot tables, organized, and detail oriented. Expert level knowledge in SQL queries and database structure is also a must.

Important: this role requires in-person work once a quarter for a few days (approximately a week). Exact dates and location to be confirmed.

Responsibilities

  • Work with Analytics and Business Intelligence teams to understand data fields definitions, KPIs, various business metrics that are tacked by stakeholders, and the workflows that transform the data.
  • Work with Data Engineers, Machine Learning Engineers, and Architects to perform efficient data exploration, leverage appropriate tools and functions for data processing, and build automation pipelines that perform machine learning at scale and output quality data for further downstream use cases.
  • Work with Product/Business owners to understand the needs for data and AI solutions, define business rules and logic, and test solution performance. Be a data advisor when it comes to using data to solve a business problem.
  • Use Python and other open source frameworks to visualize, analyze, and model data. Proficient with statistical modeling, machine learning algorithms, and when/how they should be applied in real world applications.

Qualifications

  • Bachelor’s degree in a STEM field such as Statistics, Math, Engineering, Information Systems, etc.
  • Work experience in data/business analysis, analytics, data visualization, reporting, or data engineering
  • Experience deploying and maintaining ML pipelines in production
  • Python for data extraction, transformation, and analysis
  • Python production level coding, including best practices
  • Docker and containerization.
  • Experience in querying data using SQL and BI tools
  • Databases and pulling data with table joins
  • Experience with cloud platforms such as AWS (Sagemaker, S3, EKS, EMR, Athena, Glue, Lambda) or corresponding experience in other clouds such as Azure and GCP
  • Good communication and presentation skills to explain technical solutions to either technical peers or non-technical stakeholders

Preferred Qualifications

  • Master’s degree in a STEM field such as Statistics, Math, Engineering, Information Systems, etc.
  • Spark/PySpark for data extraction, transformation, and analysis
  • Certification in cloud platforms such as AWS, GCP, and/or Azure.

Required skills

Data Science (7 - 9 yrs)

Machine Learning (7 - 9 yrs)

AWS (Amazon Web Services) (7 - 9 yrs)

Python (7 - 9 yrs)

SQL (7 - 9 yrs)

Optional skills

Apache Spark (7 - 9 yrs)

Must-Haves: Python (production level coding and best practices), SQL, ML Engineering, Model deployment, AWS (Sagemaker, S3, EKS, EMR, Athena, Glue, Lambda) or equivalent, strong communication skills

Nice to have: Spark/Pyspark, Cloud certifications

Main job time zone: EST

Time zone overlap requirements: 5+ hours with EST (9 am - 2 pm)

Location Requirements: India

Working hours: Full-time dedication (8 hours/Day - 40 hours/week)

Expected start date: January 2025

Important: this role requires in-person work once a quarter for a few days (approximately a week). Exact dates and location to be confirmed.

Device: Laptop to be provided by Andela (either shipped or stipend to purchase, in this case a receipt must be provided)

Offer

Estimated Duration: 12-month-term contractor position (Renewable)

Full-time dedication (40 hours/week)

At Andela, we know our strengths lie in our diverse community whose talents, perspectives, backgrounds, and orientations we take pride in. Andela is committed to nurturing a work environment where all individuals are treated with respect and dignity. Everyone has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits discriminatory practices. Andela provides equal employment opportunities to all employees and applicants without regard to factors including but not limited to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, pregnancy (including breastfeeding), genetic information, HIV/AIDS or any other medical status, family or parental status, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. This commitment applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Our policies expressly prohibit any form of harassment and/or discrimination, as stated above.

Andela is home for all. Come as you are.

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