Senior Data Scientist

Embedded Shishya; Gopalganj; On-site; INR 8,829,000 - 13,244,000; Full time

Benefits offered by this job

On-time payments

Flexible withdrawal options

8-hour work days

Flex days (up to 24)

Job summary

Embedded Shishya is seeking a Senior Data Scientist to join a client-focused team. You will drive data-driven solutions, translate business needs into models, and communicate results clearly to stakeholders.

The role emphasizes building scalable data processing tools, designing algorithms, and applying ML techniques on diverse datasets. CET timezone alignment is required.

Qualifications

• 5+ years hands-on experience in Data Science
• Experience with SAS, SQL, R and/or Python
• BI tools like Qlik/Tableau/Power BI desirable
• Strong stakeholder management and presentation skills
• Exposure to Hadoop, Spark, Hive is a plus
• Applied knowledge of data science techniques
• Hands-on data mining and ML techniques
• Located in CET timezone (+/- 3 hours)

Responsibilities

• Develop tools to process data streams and static data
• Translate business challenges into data science problems and applications
• Communicate complex solutions to non-experts
• Design algorithms, build models and prototype solutions for multiple business areas
• Build and maintain software solutions for large-scale OO applications
• Work on evolving data architectures and system solutions
• Abstract complex business problems and provide actionable insights

Skills

Data Science

SAS

SQL

Python

R

Power BI

Tableau

Qlik

Stakeholder Mgmt

Big Data

Machine Learning

Data Mining

Tools

Hadoop

Spark

Hive

Job description

Headquarters: Sweden
URL: http://career.proxify.io

The Role:

We are looking for a Senior Data Scientist for one of our clients. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products and growth features.

What we are looking for:

• 5+ years of hands-on experience in Data Science field
• Experience using SAS, SQL, R and/or Python
• Experience with Business Intelligence tools like Qlik/Tableau/Power BI is highly desirable
• Strong stakeholder management skills including advanced PowerPoint and presentation skills
• Exposure to Big Data technologies like Hadoop, Spark, Hive etc. is a plus
• Applied knowledge of data science techniques
• Hands-on experience in data mining and application of machine learning techniques
• Located in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones.

Responsibilities:

• Develop tools to process data streams and static data
• Translate business challenges into data science problems and applications
• Communicate complex solutions in a clear, understandable way to non-experts
• Design algorithms, build models and prototype solutions for multiple business areas
• Build and maintain software solutions while contributing to large-scale object-oriented applications
• Work on evolving data architectures and system solutions
• Abstract complex business problems and determine how to use a combination of data to provide a clear, actionable and business-driven answer in a clear, compelling way

What we offer:

Get paid, not played

No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options.

Predictable project hours

Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.

Flex days, so you can recharge

Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.

Career-accelerating positions at cutting-edge companies

Discover exclusive long-term remote positions at the world's most exciting companies.

Hand-picked opportunities just for you

Skip the typical recruitment roadblocks and biases with personally matched positions.

One seamless process, multiple opportunities

A one-time contracting process for endless opportunities, with no extra assessments.

Compensation

Enjoy the same pay, every month with positions landed through Proxify.