Data Scientist at uangteman technologies
**We are looking for Data Scientist with 2 - 4 years of experience who proactively fetches information from various sources and analyzes it for better understanding about how the business performs.
- Perform data exploration and data mining.
- build and clean data sets
- Feature engineering
- Create business intelligence, dashboards, visualizations, and/or other advanced analytics reports to adequately tell the business narrative and offer recommendations that are practiced, actionable, and have a material impact, in addition to being well-supported by analytical models and data.
Required Candidate profile:
- Formal training in ML techniques and practical experience in building and deploying machine learning models in a production environment
- Good understanding of CNNs, RNNs, reinforcement learning, supervised and unsupervised learning.
- Proficient in SQL, MySQL, regex
- Great foundation in statistics and mathematical concepts.
- Above-average articulation and communication skills as this role would involve educating and influencing senior stakeholders.
- Comfortable working in a team with software developers using Agile methodologies.
- Knowledge of a visualization tool is nice to have.
- Proficiency in programming with R and/or Python to carry out data analysis in large and complex data sets.
- Ability to move projects forward independently with moderate support.
- Ability to work effectively in multi-disciplinary teams
- Passion for advancing client engagement through creative use of data.
- Strong communication and collaborative research skills required.
Qualifications and SkillsKey Skills:
- ML algorithms
- Data Science Engineer
- Data Mining
- Machine Learning
- application analysis
- Spark MLlib
- Undergraduate, Graduate Degree or higher preferred, in a relevant field (computer science, statistics, informatics, physics, computational biology, etc.)
Job Type: Full-time
Salary: 300,000.00 to 600,000.00 /year
- total work: 2 years (Preferred)
- Provident fund (PF)
- Paid leaves / Leave encashment
- Meal card / Food coupons
- Flexible work hours
- Banking & Finance
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