Data Scientist

2 weeks ago

Bengaluru Karnataka, India Saarthee Full time

**About Saarthee**:
**Saarthee is global analytics consulting firm unlike any other, where our passion for helping others fuels our approach and our products and solutions. We are a one-stop shop for all things data and analytics. Unlike other analytics consulting firms that are technology or platform specific, Saarthee’s holistic and tool agnostic approach along with ability delivery strategic actionable insights is unique in the marketplace. Our Analytics Value Chain framework meets our customers where they are in their data journey. Our diverse and global team of skilled data engineers, data analysts, and data scientists work with one objective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations towards insights-fueled success. That’s why we call ourselves Saarthee-inspired by the Sanskrit ‘Saarthi’, which means charioteer, trusted guide, or companion. Co-founded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India.**

**Roles and Responsibilities**:
**Collaborate with Business Partners**:
Execute data vision strategy and provide thought leadership to business.

Develop analytical tools and capabilities to enable data query and respond to requests.

**Deliver Advanced Analytics and Models**:
Research new modeling methods and experiment designs.

**Data Exploration**:
Ingest, cleanse, and profile large structured and unstructured datasets.

Generate consumer insights from big data.

**Data Visualization and Storytelling**:
Use various tools/technologies to visualize and storyline insights

Recommend strategies in technical and non-technical language.

**Qualifications and Requirements**:
**Required**:
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.

Proficiency in Python (2+ years) and SQL (3-4+ years).

Experience with data visualization tools (Tableau, Power BI, Matplotlib).

Strong understanding of statistical methods and machine learning techniques.

Ability to work with large datasets and cloud-based platforms (AWS).

Excellent problem-solving, critical-thinking, and communication skills.

**Preferred**:
Master’s degree in Data Science or related field.

Experience in a fast-paced environment.

Experience with Dash/Shiny frameworks, Git, Apache Airflow, and AWS SageMaker.

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