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Director Data Science Analytics Jobs in Kansas (NOW HIRING)

Nuvative Inc

Data Scientist

Wichita, KS · On-site

Director of Analytics WHO WE ARE: WHO WE ARE: Nuvative is a parent company that is helping ... Stay current with the latest developments in data science and apply best practices to solve ...

New

Nuvative Inc

Data Scientist

Wichita, KS · On-site

Director of Analytics WHO WE ARE: WHO WE ARE: Nuvative is a parent company that is helping ... Stay current with the latest developments in data science and apply best practices to solve ...

New

Varsity Tutors

Data Science Tutor

Overland Park, KS · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Wichita, KS · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

StackAdapt

$91K - $123K/yr

The team works closely with product managers, backend engineers, web engineers, data scientists, analysts, business teams, and customer-facing teams to make data accurate, timely, scalable, and easy ...

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Director Data Science Analytics information

Is 40 too late for data science?

For a Director of Data Science Analytics, starting a career at 40 is not too late, as many professionals transition into data roles later in life. Success depends on relevant skills, experience, and continuous learning in areas like machine learning, programming, and data management. Age is less important than demonstrated expertise and adaptability in the field.

What does a director of data analytics do?

A director of data analytics oversees the development and implementation of data analysis strategies to support business goals. They lead teams of data scientists and analysts, manage data projects, and ensure the accuracy and integrity of data insights, often using tools like SQL, Python, or Tableau. This role requires strong leadership, strategic thinking, and expertise in data management and analytics techniques.

What is the salary of head of data science and analytics?

The salary for a Director of Data Science and Analytics typically ranges from $120,000 to $180,000 annually, depending on experience, industry, and location. Senior roles may also include bonuses, stock options, and other benefits, with higher compensation for those with advanced skills in machine learning, statistical analysis, and leadership.

What is the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that roughly 80% of effects come from 20% of causes. In data science, it often means focusing on the most impactful features or data points to improve model performance efficiently, making it a useful concept for data analysis and feature selection. Understanding this rule helps data scientists prioritize efforts and optimize resources in analytics projects.
What are the most commonly searched types of Data Science Analytics jobs in Kansas? The most popular types of Data Science Analytics jobs in Kansas are:
What cities in Kansas are hiring for Director Data Science Analytics jobs? Cities in Kansas with the most Director Data Science Analytics job openings:
Director Data Science Analytics jobs near you
Data Scientist

Data Scientist

Nuvative Inc

Wichita, KS • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

New

Job description

DEPARTMENT: Analytics

JOB TITLE: Data Scientist

REPORTS TO: Director of Analytics


WHO WE ARE: WHO WE ARE: Nuvative is a parent company that is helping businesses meet their goals through innovative technology and impactful employees. To recruit and retain top-notch talent, we consciously work to make and keep Nuvative an employer of choice. We provide our employees with a culture of kindness, fairness, learning and development, contribution, collaboration, diversity, innovative and fun.

JOB PURPOSE: A Data Scientist at Nuvative, Inc. will have a strong background in data analysis, statistical modeling, and machine learning, with a passion for leveraging data to drive business decisions. As a Data Scientist at Nuvative, Inc., you will play a key role in analyzing large datasets, developing predictive models, and providing actionable insights to improve our products and services. The Data Scientist also works closely with the other Data Scientists on analysis and prediction of trends while supporting cross-functional teams on the day-to-day delivery of projects and initiatives.

ESSENTIAL EXPERIENCE, DUTIES and RESPONSIBILITIES

Data Scientist

RESPONSIBILITIES

  • Analyze large, complex datasets to identify trends, patterns, and insights.
  • Develop predictive models to forecast customer behavior and optimize business outcomes.
  • Collaborate with cross-functional teams to design and implement data-driven solutions.
  • Turn data into insight: segment, cluster, model and mine to better understand behaviors, trends, & performance shortfalls.
  • Find, clean, and integrate data into usable and helpful information.
  • Communicate findings and recommendations to stakeholders in a clear and concise manner.
  • Stay current with the latest developments in data science and apply best practices to solve business challenges.
  • Contribute using SQL and Python languages to the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
  • Identify gaps in current data systems, drive and contribute to development of systems to bridge gap.
  • Plans and executes ongoing strategies including maximization of technologies and processes.
  • Responding with urgency to high priority requests from senior business leaders.
  • Take initiative to make things better and provide solutions for challenges.
  • Anticipate operational needs based on volume/expansion and make recommendations.
  • Drive change – produce clear, understandable visualizations and reports to share with Senior Management.
  • Any other duties as assigned.

QUALIFICATIONS

  • BS, MS or PhD in Data Science, Analytics, Statistics, Applied Mathematics, or a related field (with a minimum of 3 years of experience preferred).
  • In depth knowledge and understanding of finance and loan underwriting desired.
  • Background in data mining, machine learning, statistical analysis, and modeling.
  • Strong SQL abilities and experience with massive relational database systems.
  • Programming skills in R or Python and experience with related machine learning packages.
  • Proven track record of assisting business decisions with accurate data and analysis.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.

COMPETENCIES

  • Ability to produce significant output with minimal waste of effort.
  • Plans, organizes, and schedules time in an efficient, productive manner.
  • Ability to structure and process qualitative or quantitative data and draw insightful conclusions from it. Exhibits a probing mind and achieves penetrating insights.
  • Not allowing crucial details to slip through the cracks or derail a project.
  • Reaches out to peers and cooperates with supervisors to establish an overall collaborative working relationship.
  • Ability to communicate well, including the ability to take complex topics and create relatable narratives for different audiences.
  • A decisive individual with excellent organizational skills and the ability to multi-task effectively

WHY WORK FOR US: At Nuvative, you’ll find an environment where our team is the core of what we do and good work is rewarded and growth is valued. Nuvative offers competitive wages to qualified individuals and the opportunity to grow professionally and personally through diverse work experiences and hands on training. The heart of our employee culture are the values that we not only preach, but also practice everyday:

  • Initiative: Handling opportunities with confidence and enthusiasm.
  • Persistence: Moving forward in the face of adversity.
  • Teamwork: Uniting the combined effort of our organization.
  • Respect: Considering the feelings of others in your action.
  • Integrity: Maintaining honesty and strong principles.
  • Innovation: Inspiring progress with results and ingenuity.


WHAT WE CAN OFFER YOU:

  • Medical, Dental and Vision insurance.
  • Flexible Spending Account- Health & Dependent Care available
  • 401(k)- with employer match
  • Voluntary Life Insurance and AD&D
  • Paid time off
  • Holidays
  • Paid Parental leave (after a year)
  • Monthly Company Paid lunch


The above statements are intended to describe the general nature and level of work performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel in this position.