Senior Data Scientist

Job Details
Posted Date:
October 24, 2024
 
Job ID:
46243
 
Location:
Tyler , Texas
 
Category:
 
Experience:
7 years
 
Remote?:
Hybrid
Job Description
  • Location: Tyler, Texas
  • Type: Contract
  • Job #46243

Technology Partners is currently seeking a talented Senior Data Scientist. Do you have experience in machine learning model development and implementation? Let us help you make your next big career move a reality!

What You Will Be Doing:
Technology Partners is seeking a Senior Data Scientist to lead data-driven initiatives for Clements Fluids. This individual will play a key role in identifying gaps, prioritizing business needs, and delivering actionable insights through advanced analytics, visualizations, and machine-learning models. The ideal candidate will collaborate closely with business leaders, including the CEO, to create impactful data solutions that support strategic decision-making and sales enablement.

Responsibilities:

  • Collaborate with executives to identify data gaps and prioritize business needs.
  • Develop and deliver data solutions, including visualizations and reports to support business narratives.
  • Create data triggers to alert the sales team based on key business events.
  • Implement machine learning models to enhance efficiency and decision-making processes.
  • Continuously iterate on solutions based on business feedback and evolving needs.

Required Skills & Experience:

  • 5-7+ years of experience as a Senior Data Scientist.
  • Proficiency in Python, R, SQL, and big data technologies (Hadoop, Spark, Kafka).
  • Familiarity with cloud-based data environments (Azure preferred).
  • Ability to conduct light data engineering tasks.
  • Expertise in predictive modeling, machine learning algorithms, and statistical analysis.
  • Strong skills in data visualization tools (Power BI, Tableau) and storytelling with data.
  • Effective communicator with a collaborative mindset.
  • Ability to understand business challenges and translate them into data-driven solutions.
  • Experience in working with cross-functional teams.
  • Ability to work independently and take ownership of projects.

Desired Skills & Experience:

  • Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
  • Experience with sales data analytics and creating operational data triggers.
  • Strong business communication skills.

Pay: $59.50 – $85 /hr.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to provide sponsorship at this time or accept candidates who would require a corp-to-corp agreement.

If this position sounds like you, WE SHOULD TALK!

We realize our people are our most valuable asset, that is why we offer the following benefits:

  • Health, Dental, and Vision insurance
  • 401(k) retirement plan
  • Long and Short-Term disability
  • Life insurance
  • Direct deposit
  • Referral program

Your better future is ready, and we want to put the right tools in your hands to get you there. Let's go!

Keywords: Data Scientist, Data Analysis, Machine Learning, Python, R, SQL, Hadoop, Spark, Kafka, Azure, Data Visualization, Power BI, Tableau, Business Intelligence, Data-Driven Decision Making, Sales Analytics, Data Engineering, Predictive Modeling

Looking for more opportunities with Technology Partners? Check out technologypartners.net/jobs!

Technology Partners is an Equal Opportunity Employer. Technology Partners does not discriminate on the basis of race, color, religion, sex, national origin, age, disability or any other characteristic protected by applicable state or federal civil rights laws.

All offers of employment at Technology Partners are contingent upon clear results of a thorough background check and drug screening that meet corresponding laws and regulations at the city, state and federal level.

Pay ranges are influenced by candidate qualifications, experience, and role specifics, with the actual rate determined considering skills, market conditions, and are subject to change by the employer; pay negotiations follow all state and federal legal guidelines.

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