About Navtech
Sourced by ZipRecruiter
Industry
Civil engineering construction
Company size
11 - 50 Employees
Headquarters location
New Bloomfield, PA, US
Year founded
1996
Contractor
Posted 24 days ago
Job description
I have an opportunity for "Data Scientist - Seattle, WA - Hybrid" and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if you could refer someone I would really appreciate it.
Position : Data Scientist
Location : Seattle, WA - Hybrid - 2 to 3 Days a week
Duration : 12 Months Contract
Experience with Retail and global supply chain enterprises.
Principal Duties and Responsibilities:
• Develop and Deploy Predictive Models:
-Build, tune, and maintain machine learning models in data bricks using python, r, or java.
-Design and implement ML solutions tailored to specific use cases and data characteristics.
• Data Modelling and Analysis:
-Review and revise data models fed from upstream sources such as PostgreSQL, MongoDB, and Kafka.
-Identify and correct for data quality issues in data large datasets.
-Analyse results to ensure findings are statically significant.
• ML Model Optimization and Maintenance:
-Continuously improve model performance and accuracy.
-Monitor and maintain deployed models to ensure effectiveness and relevance.
• Collaboration and Cross-functional Engagement:
-Work closely with product managers, business analysts, architects, and other stakeholders to understand business requirements and translate them into technical solutions
-Collaborate with software engineers to integrate models into production systems.
Qualifications, Skills, Experience and Personal Requirements:
• Bachelor's or master's degree in data science, Computer Science, Statistics, or a related field.
• Proven hands-on experience in creating, tuning, and maintaining machine learning models in enterprise environments. (Required)
• Proficiency in Python and R, with experience using Databricks for model development.
• Deep understanding of various machine learning modelling methods and their applications.
• Experience with data modelling techniques and tools.
• Experience with MongoDB, Snowflake, Postgres, AWS Cloud, and PowerBI.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Ability to manage multiple projects and meet deadlines in a fast-paced environment.
Regards,
Alex . K
NAVTECH INC
P : (224) 348-1340 E : Alex@navtechusa.com
1600 Golf Road. Suite 1200, Rolling Meadows, IL 60008
www.Navtechusa.com E-Verified Company
Position : Data Scientist
Location : Seattle, WA - Hybrid - 2 to 3 Days a week
Duration : 12 Months Contract
Experience with Retail and global supply chain enterprises.
Principal Duties and Responsibilities:
• Develop and Deploy Predictive Models:
-Build, tune, and maintain machine learning models in data bricks using python, r, or java.
-Design and implement ML solutions tailored to specific use cases and data characteristics.
• Data Modelling and Analysis:
-Review and revise data models fed from upstream sources such as PostgreSQL, MongoDB, and Kafka.
-Identify and correct for data quality issues in data large datasets.
-Analyse results to ensure findings are statically significant.
• ML Model Optimization and Maintenance:
-Continuously improve model performance and accuracy.
-Monitor and maintain deployed models to ensure effectiveness and relevance.
• Collaboration and Cross-functional Engagement:
-Work closely with product managers, business analysts, architects, and other stakeholders to understand business requirements and translate them into technical solutions
-Collaborate with software engineers to integrate models into production systems.
Qualifications, Skills, Experience and Personal Requirements:
• Bachelor's or master's degree in data science, Computer Science, Statistics, or a related field.
• Proven hands-on experience in creating, tuning, and maintaining machine learning models in enterprise environments. (Required)
• Proficiency in Python and R, with experience using Databricks for model development.
• Deep understanding of various machine learning modelling methods and their applications.
• Experience with data modelling techniques and tools.
• Experience with MongoDB, Snowflake, Postgres, AWS Cloud, and PowerBI.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Ability to manage multiple projects and meet deadlines in a fast-paced environment.
Regards,
Alex . K
NAVTECH INC
P : (224) 348-1340 E : Alex@navtechusa.com
1600 Golf Road. Suite 1200, Rolling Meadows, IL 60008
www.Navtechusa.com E-Verified Company
navt.com
Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Scientist?
A: To succeed as a Data Scientist, one must possess core technical skills such as proficiency in programming languages like Python, R, or SQL, as well as expertise in machine learning algorithms, data visualization tools like Tableau or Power BI, and statistical modeling techniques. Additionally, strong soft skills like effective communication, collaboration, and problem-solving abilities, along with traits like curiosity, adaptability, and attention to detail, are crucial for success in this role. By combining these technical and soft skills, Data Scientists can effectively extract insights from complex data, drive business decisions, and drive career growth through continuous learning and innovation.
Q: What is the career path for a Data Scientist?
A: A Data Scientist's typical career progression involves starting as a Junior Data Analyst or Data Scientist, where they develop foundational skills in data analysis, machine learning, and visualization. As they gain experience, they can move into mid-level roles such as Senior Data Scientist or Lead Data Analyst, where they take on more complex projects, mentor junior team members, and contribute to strategic decision-making. Ultimately, senior Data Scientists can transition into leadership positions like Director of Data Science or Chief Data Officer, or pursue specialized roles like Data Engineering or Artificial Intelligence Research Scientist, depending on their interests and skills.
