Search for Data Scientist roles in Orlando, FL, specifically in the fintech industry, requiring a Bachelor's degree, with at least 2 years of experience, focusing on machine learning skills.

Okay, I've searched for Data Scientist roles in Orlando, FL, within the fintech industry, requiring a Bachelor's degree, with at least 2 years of experience, and emphasizing machine learning skills. I found 45 positions that match your criteria.

Data Scientist

Orlando, FL

Financial Services

Bachelor

2 years + Experience

Machine Learning

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Data Scientist I role at Lensa, working in partnership with Truist Inc, fundamentally focuses on leveraging advanced analytics to derive actionable insights that can enhance business strategies while minimizing risks. This position requires the individual to be adept in various analytical techniques ranging from classical statistics to machine learning and data visualization. Key responsibilities include executing sophisticated analyses and communicating findings effectively to various stakeholders, which indicates a strong emphasis on translating technical data into business language. The role necessitates an understanding not only of data science methodologies but also of business objectives, implying that the candidate must navigate the intersection of analytics and strategic decision-making. The candidate will likely face challenges such as managing stakeholder expectations, ensuring data integrity, and adapting to emerging technologies within the analytics field, which underscores the importance of problem-solving and decision-making skills. Success in this role, particularly within the first 6-12 months, would likely be determined by the ability to deliver tangible business improvements through insights generated from complex datasets while fostering cross-team collaboration and continual learning in data science practices.

Company Analysis:

Lensa operates within the tech-driven recruitment industry, specifically leveraging machine learning to optimize job placements and enhance user experiences for job seekers. Positioned as a leader in this niche, the company prioritizes innovation and results, reflecting a broader trend in the workforce landscape that emphasizes efficiency and candidate-centric approaches. The culture at Lensa can be inferred to be dynamic and collaborative, valuing continuous learning and cross-functional teamwork, which aligns well with the fast-paced nature of data science work. The Data Scientist I will play a crucial role in contributing to the company’s strategic goals, particularly in harnessing data to refine services and create a smoother job search experience. Organizationally, this role likely functions as a cross-functional player among teams such as analytics, product development, and business strategy, suggesting significant visibility with leadership and the chance to impact decision-making processes directly. With Lensa's mission to revolutionize job searches, the Data Scientist I is expected to innovate within this context, underscoring a strategic alignment of this hire with the company's growth and technological advancement goals.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Behavioral Questions:
1. Tell me about a time when you had to communicate complex data insights to a non-technical audience. How did you ensure they understood the key takeaways?
1. Describe a challenging data project you managed. What obstacles did you encounter and how did you overcome them?
1. Share an example of how you've collaborated with stakeholders to define project requirements. What was your approach?
1. Give an instance when you had to adapt quickly to a new analytical tool or framework. What was the impact on your project?
Technical/Role-Specific Questions:
1. How would you approach creating a predictive model using both structured and unstructured data? What steps would you take?
1. Describe your experience with data extraction using SQL or Hadoop. Can you provide an example of a project where you applied these skills?
1. What statistical methods do you find most effective for econometrics, and why?
1. Can you explain how you would visualize data to influence business decisions? What tools would you use?
Situational Questions:
1. Imagine you are faced with conflicting data interpretations from different stakeholders. How would you address this situation?
1. If you were tasked with evaluating the effectiveness of a new data-driven strategy, what metrics would you consider?
Company Fit/Motivation Questions:
1. Why are you interested in working at Lensa, and how do you feel your skills align with our mission?
1. How do you believe your background in analytics will contribute to the innovations pursuing in the recruitment space at Lensa?
Questions for the Candidate to Ask the Interviewer:
1. Can you share more about the types of projects the data science team is currently working on?
1. What opportunities for professional development does Lensa provide, particularly for new hires in data science?
1. How does Lensa measure success for roles like the Data Scientist I, and what would be expected in the first year?

Job Details

Overview Company

Data Scientist I

Lensa

2 days ago

Highlight

OnsiteFull-time0+ yearsEntry

Summary

Truist Inc is seeking a Data Scientist I to join their team in Orlando, FL. The role involves performing sophisticated analytics to provide actionable insights and consulting business leaders on leveraging analytics.

About the Role

As a Data Scientist I, you will independently perform data analytics using statistical and predictive methods, machine learning, and natural language processing. You will create data visualizations, design end-to-end data science solutions, and engage with stakeholders to identify business objectives. You will also write and deploy custom code in environments like Python, SAS, and R, and advocate for emerging data science methods.

About You

Required:

Bachelor’s degree and zero to four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering.
Understanding of statistical methods, including classical statistics, probability theory, econometrics, and time-series analysis.
Familiarity with linear algebra concepts and working knowledge of calculus/differential equations.
Experience with data cleansing and preparation methodologies.
Strong familiarity with data extraction in various environments (SQL, JQuery, etc.).
Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark.
Experience in managing multiple projects with tight deadlines.

Preferred:

Master’s degree or PhD in a quantitative field.
Four years of relevant work experience if lacking a graduate degree.
Previous experience in the banking or fin-tech industry.

Benefits

Medical, dental, vision, life insurance, disability, accidental death and dismemberment.
Tax-preferred savings accounts and a 401k plan.
At least 10 days of vacation and 10 sick days during the first year.
Paid holidays.
Potential eligibility for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan.

Lensa

What if we could take the search out of job search? This is the question Lensa has been answering since launching in San Francisco, California in August 2016. Using machine learning, we instantly provide companies with candidates and match professionals with positions that fit their skills, goals, personalities, and needs. How does it work? Lensa applies complex algorithms that identify the skills needed to succeed on a given job. Candidates can play computer games that assess their work style, thus gaining insight into their strengths while unlocking career opportunities. The result: job search that puts people first while reducing the time and cost of talent acquisition.

Lensa passed 10 million job seeker registrations in 2019, making the com- pany one of the premier career platforms.

With teams in multiple U.S. locations and a 60-strong crew of developers and data scientists at its R & D headquarters in Europe, Lensa is working every day to share its transformative career technology with the world.

Orlando, FL