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About Kontakt.io 

Kontakt.io is the industry leader in indoor environmental, location and occupancy services using Bluetooth Low Energy (BLE ®). Our mission is to deliver human-building interfaces that provide people with delightful, useful, and safe indoor experiences to help make buildings work for people. We are out to define a new building DNA that is human-centric. We build technologies that help transform buildings into indoor spaces that are useful for people in their daily journey to accomplish their goals, working or being cared for in a safe & sustainable indoor environment.

We started in 2013 when Kontakt.io built the first enterprise-graded BLE beacon solution for building-mobile interfaces. Since then, we have provided BLE solutions to over 30,000 end users, delivered via +1,100 partners using +3 million IoT devices in the field. Today our solutions cover approximately one billion sq ft. We continue to be a pioneer in the field, with a focus on Smart Buildings in Healthcare and Corporate Real Estate Spaces.

In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities, in Kontakt.io we are building the AI Team to accelerate our initiatives by providing a novel system to estimate individual proximity via a joint model of BLE signals with other on-device sensors.

We are looking for a Data Scientist to turn complex data sets into useful information and solve global challenges.

We are looking for someone who works best in a fast-paced environment, desires growth, take risks on bold ideas, and is open to learning from other world-class engineers. We are looking for someone who is continuously looking forward to using their knowledge to solve complex business problems, has an unstoppable thirst for knowledge, and is comfortable with ongoing skills development, whether it comes to learning completely new technology or mastering relevant ML algorithms.

Your daily work will include:

• Modeling RSSI-BLE Signals for digital asset tracking and contact tracing
• Interpreting the sensor data stream (time series, histogram, etc.) and using several statistical and deep learning methods to learn representations for sensing proximity
• Analyzing the differential impact of the various input signals
• Experimenting with level metadata (such as device models, power, signal strength, etc.)
• Using machine learning and cloud technologies to enable data science capabilities at scale
• Working closely with product leadership and subject matter experts to identify and develop analytics solutions, enhance product offerings and solve business problems.

• University degree in Computer Science, Mathematics, Statistics, Informatics, Artificial Intelligence, Physics or a similar field
• Proven experience in applying data-driven approaches to various business scenarios, including creating and using advanced analytics / Machine Learning algorithms
• Experience in coding in Python
• Understanding various Data Science and Machine Learning concepts and algorithms such as clustering, regression, classification, forecasting, neural networks, hyperparameters optimisation etc.
• Modelling stochastic real-time data series
• Outlier and anomaly detection
• Data-driven storytelling and visualisation skills (with tools like Apache Superset, Tableau, QuickSight, etc.)
• Customer and result-oriented personality, convincing with creative approaches
• Start-up mindset
• Ability to work autonomously to deliver complex projects

Kontakt.io Virtues and Culture

Lead customer-centric - customer leadership is the key. If a customer has a problem we don’t wait. We understand what customer needs and we tailor our services, products around the customer. It doesn’t mean that we let the customer lead us. It means that we think about the customer first

Have a growth mindset - we commit to results and growth. We are responsible for results, not for the activity or time spent. If we believe we can’t achieve a result or a job, it’s our duty to raise the voice, push back, explain what we suggest instead. We don’t see results as something static - ever. This means that our results and expectations are becoming more ambitious, quarter over quarter. We constantly evolve

Challenge, inspire, respect - we are the challenger in the marketplace. When working with each other - or with customers - we enjoy and desire to challenge each other. We listen, reflect, and respond. We aim to understand the point of view of the other party and if there is customer merit in the argument. When we challenge, we articulate our hypothesis clearly and provide data and evidence in our argumentation. We respect the time of our colleagues. We have a zero-tolerance towards discrimination of any kind. We respect the environment

Execute systematically - We recognize that the start-up journey will only be successful if we learn twice as much as others in half the time. For us, innovation also means continuous improvement in all fields. We think in systems when driving results, growth, and learnings

Act with urgency - We have a sense of urgency in everything we do - at all times. It’s deeply rooted in the belief that as an up-start, as a challenger, we need to drive value for our customers faster and better than anybody else in the marketplace. We do things outside of the personal comfort zone.

WHAT GATHER IS BUILDING AND WHY

Gather lets you have all of your data at your fingertips, just like your photos, videos, texts and emails are today. Gather's app enables you to download your data from across the internet, create visualizations, and share your findings with others. Gather is building towards a future in which users take their rightful place in the center of the data ecosystem. Users will exert their influence not only over their own data, but also over entities that wish to operate on their data. Because of Gather, entire new generations of apps will emerge, consumers will never feel "locked into" a service/company, and users will gain a substantial share of the data economy.

Position overview: We’re looking for an entrepreneurial AI/ML engineer to lead Gather’s efforts to develop the definitive personal AI assistant - one that would combine the problem-solving skills of GPT with Gather's deep context about your life. This AI assistant could remind you of events from the past, get insights about the present and make decisions about the future! In this role, you will be expected to have a keen interest in artificial intelligence, machine learning, and staying current with the latest developments in a rapidly changing field. You will collaborate with a diverse team of software engineers, data scientists, and designers to apply AI to solve real-world problems and change the future for consumers.

You will:

- Keep up with the latest development in Generative AI (reading latest papers, be current on new developments and product trends) 

-> Have exemplary technical research chops. Evaluate level of effort for use cases described above and deliver demos one use case at a time

-> Be a hands-on tinkerer, be willing to experiment with new technology and code. Push our thinking on state-of-the-art possibilities with AI and be able to brainstorm with CTO, CPO, CEO etc.

-> Be creative and communicate effectively understand the full context of GATHER’s vision and potential use cases.

-> Think strategically and like a product manager. Lead a small team to deliver a product to make the full bot/assistant launch successful ->  exhibit leadership and some management experience.

Relevant skills sets:

Bachelor’s degree or several years of experience in computer science, data science, software development, or another related field; a master’s degree is recommendedSolid understanding of common programming languages used in AI, such as Python, Java, C++, and Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical conceptsExperience working with large data sets and writing efficient code capable of processing large data streams at speedFamiliarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworksExcellent communication skills

Gather summed up is big vision, major hustle, lots of laughter. When you step into our office, the energy is palpable, and we can't wait to add the next member of this team to the mix. Here are a few of the people you’ll be working with:

Sumit Agarwal - CEO & youngest-ever Deputy Assistant Secretary of Defense

Mengmeng Chen - CPO, previously built 3 successful zero-to-one products

Zan Doan - CTO, was the first engineer at Turing

About Study.com

Our mission is to make education accessible, and we’ve dedicated the last two decades to becoming the leading online education platform for over 30 million learners and educators every month, Study.com is recognized as one of the most transformational companies in EdTech. Students and educators in over 9,000 school districts use Study.com and across our college programs we have saved students over $200M in tuition. Additionally, as part of our mission we’ve donated $25 million in-kind value across social impact programs to learners and educators.

Study.com requires vaccination and boosters for all employees and we work in a hybrid environment.

As an education technology leader, Study.com owes much of its success to its data driven approach.  We help over thirty million learners and instructors on Study.com each month, improving their user experience and driving growth by collecting, storing and presenting massive amounts of data that are crucial to everyday business decisions.  We're looking for a Data Analyst to join our growing team.  The ideal candidate is passionate about digging into data, understanding and explaining the stories the data tell as well as helping others solve problems, gain insights, and make smart decisions rooted in data.  Additionally, our team built and maintains several large machine learning models the business heavily relies on as well as the entire data and ETL pipeline, so an inclination toward data science and engineering is highly preferred.

Come join us on our mission and make a difference.

Responsibilities

• As part of the Business Intelligence team, own and maintain the entire data warehouse, including 50 - 100 million events coming through a Kafka queue each day, a 15 TB relational data warehouse and an integration with Google BigQuery.
• Work in a cross-functional team and be the team's point person for any data related tasks (ETLing new data, analysis, visualizations, etc.)
• Monitor and analyze the team’s A/B tests and proactively communicate key insights within your team and to external stakeholders.
• Be the voice of data by supporting the team's product owner in finding business opportunities, defining KPIs, and setting team goals.
• Actively establish processes and build tools to make data more accessible to everyone.
• Use your knowledge of statistics to support the Business Intelligence team in building and maintaining machine learning models (neural networks, logistic regressions, boosted trees, k-means clustering, etc.) that drive a significant portion of our revenue.
• Help and teach others throughout the company to better use and understand our data.
• Present findings and insights to teammates, stakeholders, and leadership.
• Innovate!  We're a team that likes to stay on the cutting edge.  Everyone is expected to always be looking for ways to leverage the latest technology to improve our processes and drive better results.

• A passion for learning and a willingness to pick up whatever you need to get the job done
• 2-5 years of experience in a data analyst role, experience with web analytics is a plus 
• Solid SQL experience (we use MySQL and BigQuery)
• Strong analytical skills and ability to draw conclusions based on data
• Comfortable working in a fast-paced, dynamic environment while juggling multiple projects
• Solid experience in Excel for data analysis and visualization
• BS in Mathematics, Statistics, Computer Science, Operations Research, or similar fields
• Good interpersonal communication and presentation skills
• Self-motivated, detail-oriented, and passionate
• Some programming experience.  We primarily use Java/Groovy and Python, with some legacy code written in R.

• Reporting and Business Intelligence experience (Tableau, Looker, QlikView, Microstrategy, etc) 
• Hands-on experience with advanced statistical concepts, such as cluster analysis, singular value decomposition, stochastic gradient descent, and Bayesian methods
• Experience using an ETL tool (Pentaho, Talend, SSIS, etc.) on large datasets (terabytes in size) 
• Knowledge of web analytics software and best practices
• Experience with generative AI (e.g. ChatGPT, GitHub Copilot, etc.) to assist in coding and other technical tasks
• Masters Degree or PhD

The salary range for this role is $105,000 - $125,000 per year. The salary range associated with this job considers the skill sets, experience and training required for this role in the San Francisco Bay Area.

At Study.com, we know that strong communities are built on the power of our diversity and we respect and strive to understand for the diverse identities, race, ethnicities, backgrounds, and perspectives of our team members. Our work and company culture have been consistently recognized, including:

· Inc. Best Place to Work

· Fortune Great Places to Work – Best Workplaces in the Bay Area

· Golden Bridge Awards – Gold Winner, Corporate Social Responsibility

· San Francisco Business Times & Silicon Valley Business Journal – Best Places to Work

We are in the heart of downtown Mountain View, just a few steps from the Caltrain station. We have comprehensive health and wellness benefits. We offer ongoing education and professional growth opportunities, including a life-long membership to Study.com. You can also expect:

· 100% paid health, vision, and dental insurance for employees

· 401(k) with employer match

· 20 - 30 PTO days each year (increases with tenure)

· 10 paid holidays

· Work at home setup stipend

· Company-sponsored gym memberships

· Free Caltrain Pass

· Tuition reimbursement and gift matching programs

Study.com provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran or disability status. In addition to federal law requirements,

Study.com complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. Additionally, qualified applicants with arrest and conviction records will be considered for the position in accordance with applicable state and local laws.