- Data Science Recruiters and Staffing SpecialistsData Scientist
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We are seeking a Data Scientist to provide impactful data-based insights to our leadership, marketing, sales, and product teams. By modeling complicated issues and creating production software, you will have a direct impact on the product as a member of the data science team. These models and algorithms will be created in conjunction with a wide range of stakeholders and teams, assisting their use of large data sets to optimize their work and test the effectiveness of possible courses of action. Our ideal candidate has a proven track record of utilizing large data sets to improve business outcomes in a fast-paced team environment.
Typical Duties and Responsibilities
- Become the team’s technical leader by serving as a source of information for data scientists in the fields of software engineering, statistics, and machine learning
- Utilize massive datasets to create statistical and machine learning models
- Own the creation, testing, and prototyping of sophisticated algorithms that use these models and give clients real-time visibility
- Analyze the effectiveness of data sources and data gathering techniques and communicate the main findings to business executives
- Identify opportunities to leverage data for business solutions throughout the organization in collaboration with key stakeholders
- Develop processes to monitor and analyze the accuracy and performance of data models
Education
- Master’s degree or higher in computer science, mathematics, physics, or a closely related field
Required Skills and Experience
- 3+ years of experience in data science and/or machine learning engineering
- Practical knowledge of statistics and machine learning techniques
- Strong Python and object-oriented programming background
- Ability to use SQL or other libraries to interact with datasets (pandas, numpy, etc.)
- C++, Scala/Java, Go, or other language programming expertise
- Hands-on experience with data science projects, including SQL database queries, Python (Pandas, NumPy, SciPy, and Scikit-learn) programming, analytics model creation, and implementation
- Familiarity with algorithms and data structures
- Working knowledge of software development teams
- Linux and Git knowledge
Preferred Qualifications
- Knowledge of other distributed computing technologies, such as Spark or Flink
- Knowledge of cloud computing platforms (AWS, Azure, GCP, etc.)
- Knowledge of databases (SQL or NoSQL variants)
- Experience with machine learning creation in Microsoft Azure or other analytics programs
- Experience with feature engineering, exploratory data analysis, and data harmonization
- Experience using learning methods that are supervised and unsupervised
- Knowledge of deep learning methodologies