Search for Data Scientist roles in Hartford, CT, with 3+ years of experience, focusing on product analytics, proficiency in SQL and Python, and a salary expectation starting from $160,000.

Okay, I've searched for Data Scientist roles in Hartford, CT, requiring 3+ years of experience, with a focus on product analytics, proficiency in SQL and Python, and a salary of at least $160,000. I found 42 positions for you to review.

Data Scientist

Hartford, CT

3 years + Experience

SQL

Python

$160000+

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

Sure. Here's the analysis:

Job Analysis:

The role of Data Scientist, Product at Confluent is pivotal in shaping the company’s data strategy and product development. This position seeks someone with a deep understanding of data analytics and product metrics to drive strategic decisions that enhance product adoption and overall business growth. Central to this role is collaboration with product managers and engineers, guiding them through data-driven insights that can help optimize product features and experiences. Success in this role means not only meeting key performance indicators related to product usage but also influencing the product's roadmap through strategic data insights and fostering a data-centric culture within the organization. Candidates will likely face challenges in aligning diverse stakeholder perspectives and translating complex data insights into actionable strategies that resonate across technical and non-technical teams. They will need to demonstrate flexibility in problem-solving and an inherent curiosity to explore data trends that lead to product innovation.

Company Analysis:

Confluent stands at the forefront of the data streaming industry, presenting a dynamic and innovative environment for a Data Scientist. As a leader in continuous data flow technologies, the company embodies a culture of excellence and ambition, encouraging employees to optimize processes and drive growth. This corporate ethos considerably influences how data scientists operate; they are expected to be proactive and initiative-driven, playing a crucial role in influencing product strategies that align with Confluent's growth goals. The company promotes a collaborative culture where data is not just a tool but a governance framework that informs every decision. Given its status as a high-growth organization, the Data Scientist's role is not just reactive, but also strategic—a contribution aimed at shaping the future of product offerings within an expansive technological landscape. Candidates should anticipate a fast-paced setting that demands adaptability, creativity, and strategic foresight to thrive and contribute meaningfully.

Mock up some interview questions based on the job description.

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

Tell me about a time when you successfully influenced product strategy using data insights.
Describe a challenging project where you had to collaborate with both technical and non-technical stakeholders. How did you manage communication?
Can you provide an example of a time you identified a significant trend in data analysis? What was your approach and what impact did it have?
How do you prioritize multiple requests for data insights from different stakeholders? Can you share a specific experience?
How would you approach creating a dashboard to visualize key product metrics? What considerations would you take into account?
Describe your experience with SQL and Python in data manipulation. Can you explain a particular project you worked on using these skills?
What techniques do you find most effective for conducting A/B testing and communicating results?
Imagine you have data indicating a sudden drop in product engagement. What steps would you take to investigate this issue?
If asked to recommend a new feature based on data trends you've noticed, what process would you follow to present your case?
Why are you interested in working at Confluent, and how do you see your role as a Data Scientist contributing to our objectives?
What aspects of Confluent's mission resonate most with you, and how do your professional values align with our company culture?
How do you keep yourself updated on new analytical techniques and data science trends? Can you share a recent insight that has changed your approach?
What questions do you have regarding the Data Science team's initiatives and how this role fits within them?
How does your experience with SaaS and product-led growth inform your approach to data analysis relevant to product development?

Job Details

Overview Company

Product Data Scientist

$160.1k/y-$188.1k/y

Lensa

4 days ago

Highlight

OnsiteFull-time3+ yearsMid

Summary

Confluent is seeking a Data Scientist, Product to join their team in Hartford, CT. The role involves defining product experiences and driving product strategy through data analysis and collaboration with cross-functional teams.

About the Role

As a Product Data Scientist at Confluent, you will collaborate with product managers, engineers, and stakeholders to define and measure success metrics. You will develop dashboards, reports, and visualizations to communicate key insights, uncover trends, and drive strategic product decisions. Your role includes applying quantitative analysis, experimentation, and data mining to improve product experience and sharing actionable insights with leadership.

About You

Required:

3+ years of experience in Product Data Science/Analytics.
Strong stakeholder management skills with the ability to influence and build relationships at all levels.
Excellent communication skills and ability to collaborate with technical and non-technical stakeholders.
Exceptional problem-solving and analytical skills.
Strong proficiency in data manipulation with data querying languages (e.g., SQL).
Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc.

Preferred:

Proficiency in scripting languages (e.g., Python).
Proficiency in data visualization and building dashboards with tools such as Tableau.
Experience and familiarity with A/B testing and experiment best practices.
Experience and knowledge of causal inference, machine learning, and other advanced analytical methods.
Experience in SaaS/Product-led Growth companies.

Benefits

Competitive pay with an annual estimated salary of $160k–$188k.
Competitive equity package.
Wide range of employee benefits.

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.

Hartford, CT