Data Scientist

Linden North Partners; Omaha (NE); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Retirement plans with employer match

Professional development opportunities

Flexible work arrangements

Wellness programs

Paid time off

Job summary

Linden North Partners in Omaha, NE is seeking a Data Scientist for a full-time role. You will analyze complex investment data, build predictive models, and deliver data-driven insights to support investment decisions in a collaborative, innovative environment.

You will work with portfolio managers and analysts to clean data, visualize results, and implement data pipelines. The position emphasizes continuous learning and applying advanced analytics to real-world investment challenges.

Qualifications

• Bachelor's degree in a quantitative field (Data Science, Statistics, Math, CS)
• 2+ years in data science, ML, or related field with impactful outputs
• Proficiency in Python, R, or SQL

Responsibilities

• Develop and implement data-driven models and algorithms for investment data
• Collaborate with investment professionals to solve business problems with data analytics
• Clean, transform, and preprocess large, complex datasets for analysis
• Perform statistical analyses and create visualizations to communicate insights
• Stay updated with data science and ML advancements to improve strategies
• Document findings and recommendations for data-driven decisions
• Assist in developing and maintaining data pipelines and infrastructure
• Work with cross-functional teams to drive data-informed investment decisions

Skills

Data science

Python/R/SQL

Data visualization

Statistics

Machine learning

Communication

Problem solving

Education

Bachelor's degree

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Linden North Partners, a leading investment management firm based in Omaha, NE, is seeking a Data Scientist for a FULL_TIME position. The role involves leveraging data to drive investment strategies and decision-making. The firm specializes in asset management, focusing on alternative investments, and values collaboration and innovation.

In this role, you will analyze complex data sets, develop predictive models, and create data-driven insights to support investment decisions. You will also collaborate with portfolio managers and analysts to implement data-driven strategies. Your work will involve data cleaning, visualization, and statistical analysis.

You will work in a collaborative and innovative environment with a team of investment professionals in Omaha, NE. The firm fosters a culture of continuous learning and professional development. The workplace is modern and equipped with the latest technology.

The salary for this position is negotiable, reflecting the firm's commitment to recognizing and rewarding the skills and experience of its employees.

• Benefits include comprehensive health insurance coverage, which may extend to family members, as well as retirement plans with employer matching contributions.
• Professional development opportunities are abundant, with access to training programs, workshops, and conferences to help employees grow and advance in their careers.
• The firm offers a competitive benefits package that includes additional perks such as flexible work arrangements, wellness programs, and paid time off, to attract and retain top talent in a competitive job market.

Responsibilities

• Develop and implement data-driven models and algorithms to analyze and interpret complex data sets related to investments.
• Collaborate with investment professionals to identify and solve business problems using data analytics techniques.
• Clean, transform, and preprocess large and complex data sets to prepare them for analysis.
• Perform statistical analysis and create data visualizations to communicate insights to stakeholders.
• Stay up-to-date with the latest advancements in data science and machine learning, and apply this knowledge to improve our investment strategies.
• Document and communicate findings, insights, and recommendations to support data-driven decision-making.
• Assist in the development and maintenance of data pipelines and infrastructure to support our data analytics efforts.
• Work closely with cross-functional teams, including investment analysts, portfolio managers, and risk professionals, to drive data-informed investment decisions.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 2+ years of experience in data science, machine learning, or a related field, with a strong track record of delivering impactful data-driven solutions.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.
• Strong understanding of statistical concepts and techniques, including regression analysis, time series analysis, and hypothesis testing.
• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Excellent communication and interpersonal skills, with the ability to work collaboratively in a team environment.
• Strong problem-solving skills and the ability to think critically and creatively to tackle complex business challenges.

The firm is committed to fostering a diverse and inclusive workplace, and as such, encourages applications from all qualified candidates, regardless of their background, experience, or personal circumstances. This policy is designed to ensure that the firm can attract and consider the most suitable candidates for each position, ultimately leading to a more representative and effective team.