Senior Data Scientist - ML, Python
Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Maskininlärning
I korthet
The Senior Data Scientist will use advanced machine learning algorithms (Tensorflow, Pytorch) and Python/SQL to transform big data into actionable insights. This role involves analyzing complex datasets, developing data models, creating visualizations, and collaborating with cross-functional teams to drive data-driven decision-making and optimize product offerings.
Ansvarsområden
- Design and implement advanced Machine Learning algorithms using Tensorflow and Pytorch.
- Extract insights from large datasets and deliver customized analytical reports.
- Develop and optimize data models using Python and SQL.
- Analyze and mine large datasets to identify trends and patterns.
- Interpret findings and provide actionable recommendations.
- Collaborate with cross-functional teams to identify opportunities for data insights.
- Formulate strategic business solutions to enhance operational efficiency and product offerings.
- Create comprehensive visualizations and reports using data visualization tools.
Krav
- Strong knowledge of Machine Learning principles and algorithms using Tensorflow and Pytorch.
- Proficient in programming languages such as Python for data analysis and model development.
- Solid understanding of SQL for data manipulation and querying large databases.
- In-depth experience with data analytics techniques and tools for interpreting complex datasets.
- Excellent collaboration and communication skills.
Önskade kvalifikationer
- Optional but valuable certifications: Certified Data Scientist (CDS), Tensorflow Developer Certificate, or Professional Data Engineer Certification.
Förmåner
- Supercharge your potential.
- Find your career.
- Find your spark.
- A place that knows that helping its customers stay on top starts by putting its people first.
- Global technology company, home to more than 223,000 people across 60 countries.
- Delivering industry-leading capabilities centered around digital, engineering, cloud and AI.
- Work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services.
- Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.
#Data Science#Machine Learning#Python#SQL#Tensorflow#Pytorch#Data Analysis#Data Visualization