Data Scientist

Bright Vision Technologies has an immediate Full-time opportunity for Data Scientist 

Job Role: Data Scientist
Job Type: Full Time

Candidates Looking for Visa sponsorship and willing to relocate to USA are encouraged to apply.

About Bright Vision Technologies: Bright Vision Technologies is a rapidly expanding technology company specializing in innovative data-driven solutions. We are dedicated to leveraging advanced analytics and machine learning to drive insights and create value for our clients. We are currently seeking a skilled Data Scientist to join our dynamic team and contribute to the success of our data-driven projects.

Job Description: As a Data Scientist at Bright Vision Technologies, you will be responsible for analyzing complex datasets, developing statistical models, and applying machine learning algorithms to extract valuable insights and solve challenging business problems. You will collaborate with cross-functional teams to identify data-driven opportunities, develop predictive models, and drive the implementation of data-driven solutions.

Responsibilities:
•    Analyze large and complex datasets to identify patterns, trends, and insights
•    Develop statistical models and machine learning algorithms to solve business problems
•    Collaborate with cross-functional teams to understand project requirements and deliver data-driven solutions
•    Apply data cleaning, preprocessing, and feature engineering techniques
•    Evaluate and validate models' performance and accuracy
•    Communicate findings and insights to technical and non-technical stakeholders
•    Stay up-to-date with the latest trends, algorithms, and advancements in data science and machine learning
•    Continuously improve data science methodologies and processes within the organization

Requirements:
•    Proven experience as a Data Scientist or similar role
•    Strong proficiency in programming languages such as Python or R
•    Solid understanding of statistics and mathematical concepts relevant to data science
•    Experience with data visualization and reporting tools
•    Knowledge of machine learning algorithms and techniques
•    Familiarity with data manipulation and analysis using SQL
•    Strong problem-solving and analytical skills
•    Excellent communication and presentation skills
•    Ability to work in a fast-paced and collaborative environment

Preferred Qualifications:
•    Master's or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field
•    Experience with deep learning frameworks, such as TensorFlow or PyTorch
•    Knowledge of big data processing technologies (e.g., Hadoop, Spark)
•    Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud Platform)
•    Experience with data engineering and data preprocessing techniques
•    Publications or contributions to the data science community (e.g., research papers, open-source projects)

Join the Bright Vision Technologies team and be part of an exciting journey to unlock the potential of data-driven insights. As a Data Scientist, you will have the opportunity to work on challenging projects, collaborate with talented professionals, and contribute to the growth and success of our organization.
To apply, please submit your resume, portfolio, and any relevant projects or publications showcasing your expertise in data science and machine learning. We look forward to reviewing your application and exploring the potential of working together to create exceptional data-driven solutions.

Would you like to know more about this opportunity? For immediate consideration, please send your resume directly to Sweta Pandey at sweta@bvteck.com or (908)-624-8599

At BVTeck, we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know.