36 Senior Data Scientist Jobs in Georgia, GA
Space International is Hiring a Senior Data Scientist Near Georgia, GA
Presently, a dedicated team of 1,700 professionals representing 17 nationalities collaborates to advance TBC's international presence. Space International spearheads the provision of cutting-edge technologies and top-tier professional services, while the local teams at Payme and TBC Uzbekistan drive sustained growth and operational excellence.
We are seeking an experienced and highly skilled Senior Data Scientist to join our digital bank. As a Senior Data Scientist, you will play a key role in leveraging advanced analytics, machine learning, and statistical modeling to drive data-driven insights and enhance our digital banking services. You will collaborate with cross-functional teams, analyze large and complex datasets, and develop predictive models to support strategic decision-making and improve customer experiences within the digital banking domain.
Analytical and Technical Skills: Proficiency in programming languages commonly used in data science, such as Python or R, and experience with data manipulation, analysis, and visualization libraries. Knowledge of SQL and databases is often required for working with structured data. Familiarity with machine learning libraries and frameworks. Familiarity with big data technologies and frameworks like Hadoop, Spark, or distributed computing.Knowledge of cloud platforms and services like AWS, Azure, or Google Cloud.
Statistical and Mathematical Knowledge: Strong understanding of statistical concepts and techniques such as hypothesis testing, regression analysis, clustering, and classification. Proficiency in mathematical concepts like linear algebra and calculus is beneficial for advanced modeling and algorithm development.
Machine Learning and Data Mining: Experience and knowledge of machine learning algorithms, including supervised and unsupervised learning techniques. Understanding of feature selection, model evaluation, and hyperparameter tuning. Familiarity with data mining concepts and methodologies.
Data Wrangling and Preprocessing: Ability to clean, preprocess, and transform raw and messy data into a usable format. Experience handling missing data, outlier detection, and feature engineering. Proficiency in data wrangling tools like pandas, data manipulation, and data transformation techniques.
Data Visualization: Proficiency in data visualization tools and libraries. Ability to create clear and informative visualizations to communicate findings and insights effectively.
Domain Knowledge: Familiarity with the specific domain or industry relevant to the position. Understanding of business processes and context can help in formulating relevant data-driven solutions and driving impact within the organization.
Communication and Presentation Skills: Strong verbal and written communication skills to effectively convey complex findings and technical concepts to both technical and non-technical stakeholders. Ability to create clear and compelling presentations and reports.
Problem Solving and Critical Thinking: Strong analytical and problem-solving skills, with the ability to think creatively and develop innovative approaches to complex problems. Attention to detail and a curious mindset to explore data, identify patterns, and derive insights.
Collaboration and Teamwork: Ability to work effectively in cross-functional teams, collaborate with data engineers, data analysts, and business stakeholders. Willingness to learn and adapt to new technologies and tools.
Leadership and mentoring abilities: Senior data scientists are often expected to lead projects, collaborate with cross-functional teams, and mentor junior team members. Strong leadership, project management, and interpersonal skills are important for success in this role.
Continuous learning: Data science is a rapidly evolving field, and staying up to date with the latest advancements, tools, and techniques is essential for a senior data scientist. Demonstrating a passion for continuous learning and professional development is highly valued.
Familiarity with big data technologies and frameworks like Hadoop, Spark, or distributed computing.
Knowledge of cloud platforms and services like AWS, Azure, or Google Cloud.
What We Offer
- Full support and career-development resources to maximize your potential along our career journey
- Market competitive total compensation package
- 100% company-paid for every employee’s medical insurance
- Benefits and incentives to stay healthy and fit
- English language classes
- Possibility to be involved in an international project
- Hybrid working model, ensuring a good work-life balance
- Junk Fridays, fruit days, terrace BBQs, and many more
Job Summary
Full Time
$105k-130k (estimate)
05/31/2024
07/29/2024
spaceintl.us
<25
The job skills required for Senior Data Scientist include Analysis, Data Science, Machine Learning, Python, Insight, Algorithms, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Scientist. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Senior Data Scientist positions, which can be used as a reference in future career path planning. As a Senior Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Scientist. You can explore the career advancement for a Senior Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Senior Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Senior Data Scientist job description and responsibilities
Senior Data Scientists rae responsible in formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.
04/06/2022: Utica, NY
Collating and cleaning data from various entities for later use by junior data scientists.
03/23/2022: Moline, IL
Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.
02/11/2022: Johnstown, PA
They also monitor the performance of Junior Data Scientists and providing them with practical guidance, as needed.
01/26/2022: Evansville, IN
May also be tasked in selecting and employing advanced statistical procedures to obtain actionable insights.
04/02/2022: Anchorage, AK
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Senior Data Scientist jobs
Present final result to stakeholders. Make adjustments based on feedback.
03/19/2022: Augusta, GA
Learn the required skills to become a data scientist.
03/27/2022: Gulfport, MS
Review additional data scientist certifications and post-graduate learning.
03/27/2022: Elkhart, IN
Ask the right questions to begin the discovery process.
04/12/2022: Petersburg, VA
Choose one or more potential models and algorithms.
04/13/2022: Peoria, IL
Step 3: View the best colleges and universities for Senior Data Scientist.
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